Current Opening for Cognitio Analytics
Position
Location
Experience
Sr. Manager – Data Analytics – Delivery & Solutions
Gurugram/Noida
8 to 10 Years
Position Overview:
We are seeking an experienced Manager / Senior Manager to lead our data and analytics service delivery and solution development team, with a specific focus on document processing solutions including OCR (Optical Character Recognition) and associated data preparation workflows. The ideal candidate will combine deep technical expertise with strong leadership abilities to drive innovative solutions for our clients and mentor team members.
Key Responsibilities
- Lead complex data and analytics projects from conception through delivery, ensuring alignment with client objectives and maintaining high standards of quality
- Develop and implement strategic solutions for clients’ data challenges, incorporating best practices in database design, data modeling, and analytics
- Oversee OCR implementation projects, including pre-processing optimization, post-processing validation, and quality assurance workflows
- Establish, and maintain comprehensive documentation standards for all processes, including technical specifications, workflow procedures, and system architectures
- Manage and mentor a team of data engineers, analysts, and solution architects, fostering professional growth and maintaining high performance standards
- Lead initiatives to improve OCR accuracy through machine learning techniques and custom model development
- Collaborate with leadership and business development teams to scope new opportunities, develop proposals, and present solutions to prospective clients
- Drive innovation in our service offerings by staying current with industry trends and identifying opportunities to incorporate new technologies and methodologies
- Establish and maintain project governance frameworks, ensuring efficient resource allocation and timely delivery
- Build and maintain strong relationships with key stakeholders, including clients, partners, and internal team.
Must Have Experience in:
- 8+ years of experience in data analytics with strong focus on BFSI vertical, with at least 4 years in a leadership role
- 5+ years of experience in creating and delivering analytical solutions and services for clients in BFSI vertical
- Deep, practice based, understanding of key analytics, data science and database design methodologies
- Team development experience: hiring, training, and retaining high quality talent
- Ability to bridge between the gap between business and data teams
- Hands on experience with key analytical tools
Required Skills:
- Strong team management and mentoring abilities
- Excellence in client relationship management
- Strong analytical and problem-solving skills
- Strong understanding of technical tools like Python and SQL
- Understanding of database design principles, including data modelling, normalization, and optimization
- Experience and working knowledge of OCR technologies and document processing platforms (e.g., ABBYY, Tesseract, or similar)
Understanding of image processing techniques and document preprocessing requirements
Cognitio Analytics is an equal-opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, color, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law. All Cognitio employees are expected to understand and adhere to all Cognitio Security and Privacy related policies in order to protect Cognitio data and our client’s data. Our salary ranges are based on paying competitively for our size and industry and are one part of the total compensation package that also includes a bonus plan, equity, benefits, and other opportunities at Cognitio. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.
Core Responsibilities Include
How you would make a difference
- Evaluate and recommend improvements to the current clinical tools include but not limited to diagnosis related groupers, disease episode groupers, patient risk scores, disease staging tools.
- Evaluate and recommend improvements for relative indices such as risks scores, disease burden index and case mix that support our clinical tools.
- Understand the final usage of the tools and recommend relevant insights for clinical tool evolution.
- Provide clinical support in the analysis of claims data to derive actionable clinical insights.
- Participate in the application of the tools in various business processes and engage with Customers to discuss the effective usage of clinical tools.
- Create and assist in the development of Clinical Pathways for a range of products such as Condition Management, Hospital Optimization, Palliative Care, etc.
- Review the clinical appropriateness of product designers.
- Supporting clinical coding teams in the creation, update, and maintenance of clinical classifications
- Research and develop/implement various clinical terminologies and ontologies (such as SNOMED-CT, LOINC, WHO ICD-10, ICD10CM, ICD11, CPT, ATC etc.) for integration and enhancement for our clinical tooling
Behavioral Skills
What you need to be successful
- Exceptional communication skills across a wide range of stakeholders
- Ability to work cohesively in a team environment while balancing multiple priorities.
- High level of attention to detail, resilience, enthusiasm, energy, and drive
- Positive, can-do attitude focused on continuous improvement.
- Ability to take feedback and constructive criticism to drive improved delivery.
- Rigorous ability to problem-solve and optimize environment.
- Excellent co-ordination skills
Technical understanding
Required
working understanding of the clinical data used in healthcare is optimal as data forms the basis of our products, as such the following core understandings are required
- Knowledge of healthcare specific data/ health Insurance claims is a must.
- Reasonable competence in use of Microsoft Office suite of tools especially Excel, Access and PowerPoint
- Knowledge of patient health management, provider profiling, healthcare reporting, and other key healthcare technologies, etc.
- Knowledge of clinical tools and coding including coders, groupers, cross walks and classifications
- Jira and Confluence Knowledge
- Agile ways of working
- Understanding of Tech Products Lifecycle
- Strong DRG and Clinical Coding foundation
- Databricks knowledge
- Experience in clinical reviews for output sanity checks
- Experience in Closed File Review for missed recovery/ prevent FWA opportunities.
- Experience in working with Health Tech Team (Project Manager, Data Scientists, Data Analysts)
The Below Understandings Are Advantageous However Not Compulsory
- SQL, python, and advanced excel
- Understanding of advanced statistics, risk adjustment and health outcome indices and metrics
- Knowledge of usage of data science in the healthcare space
- Experience in Microsoft Azure (Databricks, Synapse, Data Factory, etc.)
Qualifications
The following requirements are essential:
- Physician/MBBS degree as a clinical qualification required. Medical degree with a minimum of 5 years of post-qualification experience.
- Private health care experience would be an advantage.
- Qualifications or training in Health informatics, clinical coding or Health Administration would be very helpful.
Cognitio Analytics is an equal-opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, color, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law. All Cognitio employees are expected to understand and adhere to all Cognitio Security and Privacy related policies in order to protect Cognitio data and our client’s data. Our salary ranges are based on paying competitively for our size and industry and are one part of the total compensation package that also includes a bonus plan, equity, benefits, and other opportunities at Cognitio. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.
Job description:
- Lead the data engineering team by driving the design, build, test, and launch of new data pipelines and models on the production data platform
- Define and implement the processes needed to achieve operational excellence in all areas, including agile development, and data solutions
- Oversee the design, development and maintenance of data infrastructure, including data warehouses, data lakes, data integration components supporting optimal extraction, transformation, and loading of data
- Leading the communication with vendors, clients, the leadership team, and other stakeholders to facilitate effective project management and provide ongoing support
- Collaborate with business owners for roadmap planning and prioritization, to deliver robust cloud-based data solutions for our customers
- Work closely with cross-functional teams to propel and execute necessary solution enhancements and provide support for existing solutions
- Define and enforce best practices for data engineering, data modeling, and data quality to ensure accuracy, reliability, reusability, security and consistency of data
- Evaluate and implement new technologies, tools, and frameworks to improve the performance and efficiency of the data engineering team
- Lead the planning, prioritization, and execution and tracking of data engineering projects, ensuring timely delivery and alignment with business objectives
- Establish and monitor key performance indicators (KPIs) to measure the performance and effectiveness of the data engineering team
- Stay current with industry trends and advancements in data engineering, Azure Cloud, and provide strategic guidance for adopting new technologies or methodologies
Qualifications
- 8-12 years of demonstrable experience in data engineering, analytics, data warehousing, data management, Data governance and Compliance Requirements.
- Experience managing data engineers and guiding a team of engineers through project planning, execution, tracking and monitoring, and quality control stages
- Solid experience with cloud-based data tools and platforms
- Proficient in implementing efficient cost management strategies, particularly about storage and computational expenses.
- Experience building processes supporting data transformation, data structures, metadata, security, governance, and workload management.
- Experience supporting and working with cross-functional teams in a dynamic environment
- Expertise in designing and optimizing data models, RDBMS, NoSQL DBs, and data warehousing solutions
- Excellent leadership, communication, and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
- Proven ability to drive innovation, make strategic decisions and lead complex data engineering initiatives to successful completion
Skill Required:
Must Haves:
- SQL, Python, Py Spark, Spark SQL, Spark, Distributed Systems
- Databricks, ADLS Gen 2 Blob Storage, Azure DevOps, Azure Data Factory
- ETL, Building Data Pipelines, Data Warehousing, Datamart, Data Modelling and Governance
- Agile Practices, SDLC, DevOps practices, and CI/CD pipelines for data engineering workflows
- ·Solid understanding of the Microsoft Azure stack for large-scale data engineering developments and deployments is highly preferred
- Hands-on experience with Azure Databricks, including data ingestion, data transformation, workflow management and optimization, monitoring and troubleshooting Spark Jobs
- ·Ability to set up and manage Azure Data Lake Storage (ADLS) Gen 2 accounts, and familiarity with data lake architecture and best practices
- Familiarity with big data frameworks (e.g., Apache Spark).
- Knowledge of Azure Key Vaults for securely storing and managing cryptographic keys, secrets, and certificates
Good to Have:
- Event Hubs for log management
- Workflow Orchestration
- Cosmos DB
- Power BI
- Professional Services Background
- Scala, Java
Cognitio Analytics is an equal-opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, color, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law. All Cognitio employees are expected to understand and adhere to all Cognitio Security and Privacy related policies in order to protect Cognitio data and our client’s data. Our salary ranges are based on paying competitively for our size and industry and are one part of the total compensation package that also includes a bonus plan, equity, benefits, and other opportunities at Cognitio. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.
Knowledge, and Expectations:
- Advanced knowledge of medical coding and billing systems, groupers, crosswalks, and classification systems including proficiency in regulatory requirements.
- Possess thorough knowledge of anatomical and medical terminology, demonstrating a natural curiosity and analytical mindset.
- Ability to create and maintain crosswalks matching up/ recommend the equivalent codes based on coding guidelines.
- Research and bring in international and regional medical coding schemas/ classifications, crosswalks, risk adjustment tools, reference lists/ value sets and drug/ medical device directories to the database, enhancing company’s medical coding assets and highlighting the standards’ licensing requirements (wherever applied).
- Analyse and interpret claims line level descriptions, and other documentation, and convert them into codable format to the best of clinical and coding knowledge.
- Review and verify codes for diagnoses, procedures and treatment, and observations for coding inaccuracies and deficiencies as part of codes quality checks.
- Serve as resource and subject matter expert to other coding staff.
Technical, and Soft Skills:
- Meet and maintain established quality coding goals, ensuring accuracy and compliance with coding standards.
- Use independent judgment to handle confidential information appropriately, adhering to company requirements.
- Excellent organizational and time management abilities to handle multiple tasks and meet deadlines.
- Experience using Microsoft Office (Excel, Word, PowerPoint, Visio)
- Extensive knowledge of Anatomy and Physiology
- Demonstrated capacity to work independently as well as in a team environment.
- Comfortable presenting formal presentations to both large or small groups or individuals
- Strong communication skills, written and verbal.
- Strong team player and emotional intelligence.
- Ability to make decisions based on independent thinking and business objectives.
Qualifications, Certifications & Experience:
- Bachelor’s degree (or equivalent) in health information systems, Life Sciences, or in a healthcare related field.
- Certified medical coder with Certification(s) from AAPC or AHIMA including but not limited to CPC, CRC, CCS, or CCS-P.
· Required Work Experience: At least 3 years’ experience as a certified medical coder.
- Must have experience in most of the international coding standards such as ICD9/10PCS, ICHI, Current Procedural Terminology (CPT), International Classification of Disease 10th Edition -Clinical Modification (ICD-10-CM), and Health Care Procedure Coding System (HCPCS), Anatomical Therapeutic Chemical (ATC), RxNorm, Global Medical Device Nomenclature (GMDN),
- Experience working with SNOMED & LOINC is preferred.
- Experience working with APAC regional schemas like Malaysian Medical Association (MMA) for Malaysia, Thai Medical Terminology (TMT) and Thai Medical Laboratory Terminology (TMLT) for Thailand, Table of Surgical Procedures (TOSP) for Singapore etc. is preferred.
- Well versed in Risk Adjustment tools like (HCC), diagnosis related groupers, disease episode groupers, patient risk scores, disease staging tools, etc.
Cognitio Analytics is an equal-opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, color, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law. All Cognitio employees are expected to understand and adhere to all Cognitio Security and Privacy related policies in order to protect Cognitio data and our client’s data. Our salary ranges are based on paying competitively for our size and industry and are one part of the total compensation package that also includes a bonus plan, equity, benefits, and other opportunities at Cognitio. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.
Job Description:
We are seeking a highly skilled Azure Cloud Data Engineer to join our dynamic team. As an Azure Cloud Data Engineer, you will be responsible for designing, implementing, and managing cloud-based data solutions using Microsoft Azure. The ideal candidate should have a strong background in data engineering, with hands-on experience in Azure services and tools.
Skill Required:
Must Haves:
- Exp in Data Engineering domain: 2+ Years.
- Multi years’ experience with Azure-Databricks ecosystem and Py spark.
- Ability to write clean, concise and organized Py spark code.
- Ability to break down the project into executable steps, prepare a DFD and execute the same
- Propose innovative DE solutions to achieve business objectives.
- Quick on his feet, good at tech and logically complex communication
- Good Knowledge of ADF, Docker /containerization.
Good to Have:
- Event Hubs
- Azure Data Factory, Cosmos DB, Power BI
- Competitive coding and knows most Py spark syntax by heart.
Essential Job Duties & Responsibilities:
- Set up workflows and orchestration processes to streamline data pipelines and ensure efficient data movement within the Azure ecosystem.
- Create and configure compute resources within Databricks, including All-Purpose and SQL Compute and Job Clusters to support data processing and analysis.
- Set up and manage Azure Data Lake (ADLS) Gen 2 storage accounts and establish a seamless integration with Databricks Workspace for data ingestion and processing.
- Create and manage Service Principals, key vaults to securely authenticate and authorize access to Azure resources.
- Utilize ETL (Extract, Transform, Load) techniques to design and implement data warehousing solutions and ensure compliance with data governance policies.
- Develop highly automated ETL scripts for data processing.
- Scale infrastructure resources based on workload requirements, optimizing performance and cost-efficiency.
- Profile new data sources in a different format including CSVs, JSONs etc.
- Apply problem-solving skills to address complex business and technical challenges, such as data quality issues, performance bottlenecks, and system failures.
- Demonstrate excellent soft skills and the ability to effectively communicate and collaborate with clients, stakeholders, and cross-functional teams.
- Implement Continuous Integration/Continuous Deployment (CI/CD) practices to automate the deployment and testing of data pipelines and infrastructure changes.
- Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines.
- Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases.
- Manage timely appropriate communication and relationship with clients, partners and other stakeholders.
- Create and manage periodic reporting of project execution status and other trackers in standard accepted formats.
Required Competencies:
- Strong proficiency in SQL for data manipulation, querying, and optimization.
- Proficiency in Python and PySpark for data engineering and data processing tasks.
- Solid understanding of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred.
- Hands-on experience with Azure Databricks, including data ingestion, transformation, and analysis.
- Ability to set up and manage Azure Data Lake Storage (ADLS) Gen 2 accounts, and familiarity with data lake architecture and best practices.
- Knowledge of Azure Key Vaults for securely storing and managing cryptographic keys, secrets, and certificates.
- An ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact.
- Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews.
- Use of agile and DevOps practices for project and software management including continuous integration and continuous delivery.
- Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access.
- Proven track record of scaling infrastructure to meet performance and scalability requirements.
- Strong analytical and problem-solving skills, with the ability to troubleshoot complex technical issues.
- Direct experience having built and deployed robust, complex production systems.
- Proficiency in Event Hubs and Azure Data Factory, particularly in the context of data streaming and transfer.
Qualifications:
- Bachelor’s degree in computer science, Engineering, or a quantitative discipline.
- 2+ years of professional experience as an Azure Cloud Data Engineer or a similar role.
- Excellent communication skills, both verbal and written.
- Strong attention to detail and the ability to work in a fast-paced environment.
Cognitio Analytics is an equal-opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, color, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law. All Cognitio employees are expected to understand and adhere to all Cognitio Security and Privacy related policies in order to protect Cognitio data and our client’s data. Our salary ranges are based on paying competitively for our size and industry and are one part of the total compensation package that also includes a bonus plan, equity, benefits, and other opportunities at Cognitio. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.
Job Description:
The role will be responsible to oversee data analytics team and be the technical head of a global workforce across a multi-country team. The objective of the role is to ensure timely, robust, and accurate research, conception, delivery and ongoing monitoring of analytical products and frameworks. Effective communication between key stakeholders (actuarial, statistical, technology, and data teams) is vital to ensure delivery.
Core responsibilities include:
- Owning and executing distinct work streams within larger analytics engagement
- Delivering insights based on complex data analysis, within relevant verticals (insurance, health care, banking, etc.)
- Hands on experience in data manipulation skills in SQL/Python.
- Experience in exploratory data analysis and feature engineering
- Must have strong capabilities in problem solving, managing own work diligently, thoroughly documenting own work, succinctly communicating analysis process and outcomes, as well as effectively working with clients
- Basic understanding of at least one business area and its components (Healthcare, Insurance, Banking, Telecommunications, Logistics)
- Familiarity with / Exposure on cloud engineering (preferred)
- Ability to translate technical information to non-technical stakeholders and vice versa
- Strong verbal and written communications skills
- Actively seeks information to clarify customer needs to deliver better experience
- Acts promptly to ensure customer needs are fulfilled
What skills do you need?
Behavioural skills
- Exceptional leadership and communication skills across a wide range of stakeholders
- Ability to work cohesively in a team environment while balancing multiple priorities
- High level of attention to detail, resilience, enthusiasm, energy and drive
- Positive, can-do attitude focused on continuous improvement
- Ability to take feedback and constructive criticism to drive improved delivery
- Rigorous ability to solve complex analytical problems, optimize environments and communication with stakeholders
- Excellent management, co-ordination and communication skills
Technical Skills
A deep understanding of the technical tools used in analytical domain is required as the bases for development of analytical products, as such the following core understandings are required:
- Practical experience in SQL, python, Power BI and advanced excel in the context of data exploration and manipulation.
- Knowledge of data science and solution architecture on the cloud -Azure cloud (preferred)
- Knowledge of cloud technologies such as data bricks, azure studio, data factory, etc. (preferred)
- Understanding of data science in patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc. is beneficial but not required
- Understanding of data science in fraud, operations, lifestyle, behavioural environment is beneficial but not required
Qualifications
- Bachelor’s degree in engineering, Data Science, Statistics, Mathematics, or related quantitative field.
- MBA graduate from a Tier-1 institute or a master’s degree in relevant field
- Minimum 5 years of experience in data and analytics
- Minimum 4 years of experience in leading analytical teams, project management and stakeholder management
Additional key skills we are looking at
Stakeholder Management, Client Communication, Team Management, Project Management, Problem Solving, Python, SQL, Storytelling, Presentation Skills
Cognitio Analytics is an equal-opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, color, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law. All Cognitio employees are expected to understand and adhere to all Cognitio Security and Privacy related policies in order to protect Cognitio data and our client’s data. Our salary ranges are based on paying competitively for our size and industry and are one part of the total compensation package that also includes a bonus plan, equity, benefits, and other opportunities at Cognitio. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.
Ideal qualifications, skills and experiences we are looking for are:
- We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights.
- Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success.
- Doctorate/Master’s/bachelor’s degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field.
- Minimum of 1 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus.
- Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives.
- Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn).
- Very strong python and exceptional with pandas, NumPy, advanced python (pytest, class, inheritance, docstrings).
- Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Py torch.
- Strong hands-on experience in NLP/Gen AI experience is highly valuable.
- Pyspark experience is highly valuable.
- Competitive coding experience (Leet Code) is highly valuable.
- Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing.
- Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.)
- Basic MLOPs experience with FastAPIs and experience of docker is highly valuable and AI governance
- Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making.
- Excellent verbal and written communication skills
- Proven experience leading data science projects, managing timelines, and delivering results within deadlines.
- Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.
Cognitio Analytics is an equal-opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, color, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law. All Cognitio employees are expected to understand and adhere to all Cognitio Security and Privacy related policies in order to protect Cognitio data and our client’s data. Our salary ranges are based on paying competitively for our size and industry and are one part of the total compensation package that also includes a bonus plan, equity, benefits, and other opportunities at Cognitio. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skills
Overview
The Marketing and Communications Manager will be responsible for generating compelling marketing materials that clearly communicate our value propositions, case studies, and points of view. This role is critical in shaping our brand and ensuring that our messages resonate with senior business executives in the US, as well as talent in the US and India.
Key Responsibilities
- Develop and create impactful marketing materials including presentations, flyers, LinkedIn posts, and teasers for various marketing events such as webinars, conferences, and recruiting events.
- Coordinate and manage events, conferences, and webinars to promote the Company.
- Craft compelling case studies and points of view that highlight our solutions and their benefits.
- Develop and execute marketing strategies that target senior business executives and talent in the US and India.
- Enhance brand positioning through innovative campaigns and storytelling.
- Manage and optimize content for various channels to ensure maximum engagement and reach.
- Manage Website content and optimize for engagement.
- Work closely with cross-functional teams to gather insights and information necessary for creating effective communication materials.
- Oversee social media, SEO, and paid advertising strategies to drive traffic and conversions.
- Track and analyze the performance of marketing materials and campaigns, providing insights and recommendations for improvement.
- Develop and manage the marketing communications budget, ensuring cost-effective use of resources.
- Stay updated with industry trends and best practices to ensure our marketing efforts are innovative and effective.
Qualifications
- Bachelor’s degree in Marketing, Communications, or a related field.
- 5+ years of experience in marketing and communications, preferably in the SAAS industry.
- Proven track record of creating impactful marketing materials for senior business executives and talent.
- Strong understanding of digital marketing and social media platforms, particularly LinkedIn.
- Excellent written and verbal communication skills.
- Ability to work collaboratively in a fast-paced, dynamic environment.
- Strong project management skills with the ability to manage multiple projects simultaneously.
- Experience with marketing automation and analytics tools is a plus.
Cognitio Analytics is an equal-opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, color, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law. All Cognitio employees are expected to understand and adhere to all Cognitio Security and Privacy related policies in order to protect Cognitio data and our client’s data. Our salary ranges are based on paying competitively for our size and industry and are one part of the total compensation package that also includes a bonus plan, equity, benefits, and other opportunities at Cognitio. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.