663 Product Research jobs in India

Looking For ETL Data Analyst Having Experience in the Healthcare domain 

Total Exp - 5 to 10 yrs

Loc: Pune/Mumbai/Hyderabad/Bangalore/Chennai (5 days Working – WFO)

Healthcare business and data analysis

• Create source-to-target mapping based on requirements

• Create rules definitions and transformation logic

• Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem-solving

• Developing scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling.

• Assume responsibility for data integrity among various internal groups and/or between internal and external sources

• Proficient in SQL understands data modeling concepts and ETL

• Aware of or willing to learn key concepts of Kafka, Databricks, GitHub, Airflow, Azure storage to support DataOps incident remediation work

• Must have an aptitude for learning new data flows quickly and participate in data quality and automation discussions.

• Must be able to take end to end responsibility in quickly solving data issues in production setting and be comfortable in engaging customers as needed for issue resolution

Proficient in Business analysis, Data Analysis, Mapping data from one format to another, Healthcare data experience(must), SQL(must), Snowflake(preferred), Databricks(preferred), Kafka(preferred)

Undergraduate degree or equivalent experience

• 5 or more years of data analysis experience

• 5 or more years of systems analysis/requirement gathering experience

• 3+ year of Health Care/Claims data experience

About Ottimate

Ottimate is an AI-powered finance automation platform that takes the grind out of accounts payable. From scanning invoices to issuing payments and managing spend, we help finance teams cut costs, prevent overpayments, catch fraud, and stay compliant-without slowing down growth. Our AP, Payments, and Spend products share one powerful platform that handles the hard stuff: workflow orchestration, identity and access, provisioning, security, and all the accounting plumbing that keeps the money moving.

Why this role matters

As we scale, the user experience must remain intuitive, powerful, and consistent. We require a dedicated design leader in India to manage, coach, and grow our Product Design team (currently 3 Designers). This is a vital "player-coach" role for someone who can elevate the craft of design, institutionalize user research, and personally drive the most complex design projects. You will be responsible for defining the future state of our platform's look, feel, and usability, ensuring design is a strategic business advantage.

Key Responsibilities:

Design Leadership & Mentorship:

• Manage, coach, and provide constructive feedback to the existing Product Design team, fostering a culture of design excellence and technical execution.
• Elevate design quality across all features, ensuring consistency, usability, and strong information architecture.
• Own the hiring and development pipeline to strategically scale the design team as Ottimate grows.
• Design Systems & Operations (Player Function):
• Act as a Player-Coach by personally taking ownership of key design artifacts, including the creation and implementation of a company-wide Design System.
• Define and standardize DesignOps processes, including file hygiene, component governance, and design-to-engineering handoff workflows.

User Research & Strategy:

• Plan, conduct, and synthesize comprehensive user research (interviews, usability testing, surveys) to generate strategic insights that inform product and design decisions for the India-focused teams.
• Evangelize the value of research and data-informed design to the broader product and engineering organization.
• Design Advocacy & Collaboration:
• Champion a strong, influential design culture, proactively advocating for the user in strategic roadmap discussions.
• Partner closely with Product Managers and Engineering Leads to ensure designs are technically feasible, delivered efficiently, and meet business objectives.

Requirements

• 7+ years of experience in product design, with a portfolio demonstrating your work on complex B2B or FinTech/SaaS applications.
• Proven experience managing and mentoring a team of Product Designers (or managing cross-functional design projects with significant leadership responsibility).
• Strong expertise in user research methodologies and a track record of using research to drive strategic design decisions.
• Exceptional skills in high-fidelity prototyping and design specification.
• Executive-level communication skills and the proven ability to inspire and lead a remote or hybrid team.
• Experience in the accounts payable, procure-to-pay, or FinTech space is a significant plus.
• Location in Bangalore or Chennai is a significant plus.

• Assist in data collection and data entry processes.
• Perform data cleaning and preprocessing to ensure data quality.
• Conduct statistical analysis under the guidance of senior researchers.
• Create data visualizations to illustrate findings.
• Contribute to research reports and presentations.
• Learn and apply various data analysis techniques.
• Collaborate with team members on research projects.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and methods.
• Familiarity with data analysis tools or programming languages (e.g., Excel, Python, R) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and organizational abilities.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment.
• Must be available for the duration of the internship at our Chennai, Tamil Nadu, IN office.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis methodologies.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and teamwork abilities.
• Ability to work independently and manage tasks effectively in a remote setting.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Create data visualizations and reports to communicate findings.
• Support data scientists and analysts in developing analytical models.
• Contribute to data quality checks and validation processes.
• Learn and apply various data analysis tools and techniques.
• Participate in team meetings and contribute to project discussions.
• Assist in documenting data analysis processes and methodologies.
• Understand business requirements and translate them into data analysis tasks.
• Develop basic skills in statistical analysis and reporting.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong foundational knowledge of statistical concepts and principles.
• Basic understanding of data analysis and visualization techniques.
• Proficiency in MS Excel and familiarity with data analysis software (e.g., Python, R, SQL - basic knowledge is a plus).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal abilities.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively in a team environment.
• Attention to detail and accuracy.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform basic statistical analysis on datasets to identify trends and patterns.
• Create clear and concise data visualizations (charts, graphs) to communicate findings.
• Support senior analysts in developing reports and dashboards.
• Learn and apply data analysis tools and techniques.
• Contribute to data quality checks and validation processes.
• Collaborate with cross-functional teams to understand data needs.
• Assist in interpreting data and providing actionable insights.
• Participate in training sessions to enhance data analysis skills.
• Document methodologies and findings for future reference.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Recent graduates with a strong academic background in quantitative subjects.
• Basic understanding of statistical concepts and methods.
• Proficiency in Microsoft Excel is required.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of programming languages like Python or R is a plus.
• Excellent analytical and problem-solving abilities.
• Strong communication skills, both written and verbal.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.

• Recent graduate with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Python or R.
• Good understanding of SQL and database concepts.
• Familiarity with data visualization tools is a plus.
• Excellent communication and teamwork skills.
• Eagerness to learn and develop expertise in data analysis.