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analyst/senior analyst - financial operations Jobs in Mangaluru

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assistant manager - business finance (analytics) Jobs in Mangaluru

assistant manager - business finance (analytics)

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associate, data management

data analyst

Red Hat

<div>
 
 About The Job
 
 
 
 The Red Hat Product Analytics and Insights team is looking for a Data Analyst who is passionate about solving business problems, automating data and reporting needs using analytics/AI tools in Bangalore, India. You will be responsible for gathering business requirements, developing measurement strategies and assigning program KPIs. You will measure performance, analyze customer behavior and trends, build dashboards and transform raw data into actionable insights that drive business decisions.
 
 
 
 
 What you will do?
 
 
 
 
 <ul>
 <li>
 Work cross-functionally with leadership, program managers, data analysts and other stakeholders to understand and achieve business priorities
 </li>
 <li>
 Elicit business requirements and develop measurement plans for strategic programs
 </li>
 <li>
 Understand business problems in detail with all nuances.
 </li>
 <li>
 Map the solution to data domain and generate the SQL workflow
 </li>
 <li>
 Collect and analyze data through manual and automated collection methods
 </li>
 <li>
 Interpret data, analyze results using analytics techniques and provide ongoing reports
 </li>
 <li>
 Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
 </li>
 <li>
 Identify, analyze, and interpret trends or patterns in complex data sets
 </li>
 <li>
 Technical expertise regarding data models, database design development, data mining, data cleansing, data extraction and segmentation techniques
 </li>
 <li>
 Translate abstract data into easily-digestible and highly-visual dashboard applications and executive-level report deliverables
 </li>
 <li>
 Collaborate with other analysts, data engineers, and data scientists to provide exceptional customer support to our internal stakeholders
 </li>
 <li>
 Analyze large data sets and translate abstract data into highly-visual and easily-digestible formats
 </li>
 <li>
 Support the team with Data platform modernizations
 
 
 </li>
 </ul>
 
 
 What you will bring?
 
 
 
 
 <ul>
 <li>
 2+ years of experience in the Data Analyst role
 </li>
 <li>
 Excellent communication, organization and time-management skills
 </li>
 <li>
 Ability to interpret large amounts of data and multi-task
 </li>
 <li>
 Adequate knowledge of data collection methods
 </li>
 <li>
 Working knowledge of data warehousing, modeling, and mining.
 </li>
 <li>
 Hands-on experience in handling Data
 </li>
 <li>
 Strong knowledge of and experience with reporting packages (Tableau, Power BI, CRMA etc), databases (Snowflake,SQL etc), programming (Python)
 </li>
 <li>
 Experience in large-scale data migration/validation, AI enabled and/or complex telemetry/usage data
 </li>
 <li>
 Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
 </li>
 <li>
 Knowledge of Data Agents
 </li>
 <li>
 Strong knowledge of ETL Concepts
 </li>
 <li>
 Strong analytical and critical thinking
 
 
 </li>
 </ul>
 
 About Red Hat
 
 
 
 Red Hat is the world&rsquo;s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
 
 
 
 Inclusion at Red Hat
 
 
 
 Red Hat&rsquo;s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
 
 
 
 Equal Opportunity Policy (EEO)
 
 
 
 Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
 
 
 Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
 
 
 Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.
</div>

Data Analyst

Reyika

<div>
 
 The Data Quality Analyst will report to the VP, Lead Data Strategist of the Salesforce
 
 
 Effectiveness Team within the GTM Organization. The primary purpose of this role is to
 
 
 manage data quality for GTM business platforms, provide analytical support to business
 
 
 projects that affect the GTM organization.
 
 
 Essential skills include (1) the ability to perform data quality checks and capture definitions
 
 
 and lineage on data from complex, relational data environments such as Oracle and
 
 
 Salesforce, (2) selecting and utilizing the right analytical tools to generate insights, (3)
 
 
 making fact-based, pragmatic recommendations based on a thorough understanding of the
 
 
 business, and (4) collaborating with business leaders from across the business to implement
 
 
 recommendations. The primary objective of this role is to partner with GTM leadership to
 
 
 improve the accuracy, consistency, completeness, and quality of the data used by GTM and
 
 
 commercial teams.
 
 
 
 
 
 Essential Responsibilities:
 
 
  Data Management
 
 
  Manage data quality across Salesforce and Rapid databases.
 
 
  Perform data cleansing, deduplication, ensuring integrity and compliance.
 
 
  Assemble data sets from a complex data environment (i.e., relational database)
 
 
 using SQL, SAS, Python
 
 
 
 
 
  Documentation
 
 
  Ensure data fields are properly defined with lineage across Salesforce and Rapid
 
 
 databases.
 
 
  Create and maintain process guides, user manuals, and data documents.
 
 
  Reporting and Analytics
 
 
  Perform analytics to glean insights from large data sets.
 
 
  Prepare accurate data sets for loading into various data warehouses.
 
 
 
 
 
 Classification:
 
 
 Public
 
 
 
 
 
 2
 
 
  Others
 
 
  Present complex analytical information succinctly and clearly to all levels of
 
 
 management
 
 
  Partner and collaborate effectively with the business.
 
 
  Perform other duties and/or special projects as assigned.
 
 
 
 
 
 Qualifications/Requirements:
 
 
  Bachelor&amp;#39;s degree in STEM or related quantitative field. In lieu of degree, a high school
 
 
 diploma/GED and 7+ years of analytics work experience.
 
 
  3+ years of SQL, SAS and Python coding within a complex data environment
 
 
  3+ years of experience in a data analytics role, with a strong emphasis in the utilization of
 
 
 complex analytical methods and quantitative/statistical modeling
 
 
  Demonstrated proficiency in MS Excel (e.g., pivot tables, filters, database functions, etc.)
 
 
  Proficiency in database administration, RDBMS, and data governance.
 
 
  Experience with implementing data governance and quality in Salesforce and/or Oracle/
 
 
 SQL Server databases.
 
 
 Desired Characteristics:
 
 
  Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative discipline (e.g., mathematics, statistics,
 
 
 economics)
 
 
  Financial Services industry experience.
 
 
  5+ years of coding experience (e.g., SAS, python, R).
 
 
  Data Governance and Quality implementation experience.
 
 
  Excellent organization skills and strong attention to detail.
 
 
  Proficient in Salesforce objects, data and force.com databases.
 
 
  Ability to clearly explain technical and analytical information (verbally, written, and in
 
 
 presentation form) and summarize for key stakeholders.
 
 
 
</div>

NTT DATA North America

<div>
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
 
 We are currently seeking a Data Analyst to join our team in Bengaluru, Karn&amacr;taka (IN-KA), India (IN).
 
 
 <ul>
 <li>
 3+ years of experience in business analysis, data analysis, or business intelligence, with a focus on Insurance
 </li>
 <li>
 Proven experience in data warehousing, financial data analysis, and reporting systems.
 </li>
 <li>
 Experience working with cross-functional teams to translate business needs into data-driven solutions.
 </li>
 <li>
 Expert Business Requirements Translator! Able to understand sometime vague or ill-defined business requirements and develop these into clear technical requirements for delivery
 </li>
 <li>
 Data savvy and experienced working with complex data sets
 </li>
 <li>
 Strong troubleshooting and problem-solving skills
 </li>
 <li>
 Ability to extract data across databases, cloud storages, and separate files filled with unstructured data
 </li>
 <li>
 An inquisitive nature, a drive to understand why things are the way they are, and curious enough to question unproven beliefs and assumptions.
 </li>
 <li>
 Strong written and verbal communication skills with the ability to listen, present and communicate solutions clearly and concisely with technical and non-technical audiences.
 </li>
 <li>
 Strong proficiency in SQL for querying and manipulating financial data.
 </li>
 <li>
 Excellent Stakeholder Management.
 </li>
 <li>
 Familiarity with ETL processes and data integration tools.
 </li>
 <li>
 Experience with database management systems and cloud-based data warehousing platforms (e.g. Snowflake).
 </li>
 <li>
 Solid understanding of financial KPIs and metrics (e.g., P&amp;L, balance sheets, cash flow, budgeting).
 
 
 </li>
 </ul>
 
 About NTT DATA
 
 
 
 NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
 
 
 Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
 
 
 
 NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.
 
 
 
 
 This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
 
 
</div>

Saviynt

<div>
 
 
 Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world&rsquo;s leading brands, Fortune 500 companies and government institutions. For more information, please visit&nbsp;
 
 www.saviynt.com
 
 .
 
 
 
 
 Data Analyst role is essential for transforming raw business data into actionable insights,
 
 
 
 
 supporting data-driven decision-making across the Global Support Department, and
 
 
 
 
 improving operational efficiency. The Data Analyst will play a crucial role in shaping
 
 
 
 
 reporting and analytics for internal stakeholders.
 
 
 
 
 The Analytics Team is dedicated to extracting value and strategic direction from
 
 
 
 
 datasets. Our core purpose is to provide accurate, timely, and insightful data analysis
 
 
 
 
 that informs business strategy, optimizes processes, and drives continuous
 
 
 
 
 improvement across the company.
 
 
 
 
 
 
 
 WHAT YOU WILL BE DOING
 
 <ul>
 <li>
 Analyze complex datasets to identify trends, patterns, and insights that can drive business decisions
 </li>
 <li>
 Develop and maintain dashboards and reports using data visualization tools (e.g., Tableau) to track key performance indicators (KPIs) and operational metrics
 </li>
 <li>
 Collaborate with cross-functional teams to understand data requirements and deliver relevant analyses
 </li>
 <li>
 Design, develop, and automate reports and data workflows to improve efficiency and data accessibility
 </li>
 <li>
 Ensure data quality and integrity by performing regular audits and validation checks
 </li>
 <li>
 Present findings and recommendations clearly and concisely to non-technical stakeholders using tools like PowerPoint and Excel
 </li>
 <li>
 Assist in the creation of predictive models and forecasts to support planning initiatives
 
 </li>
 </ul>
 
 
 
 
 WHAT YOU BRING
 
 <ul>
 <li>
 2+ years of professional experience in a Data Analyst or similar role
 </li>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, or a related quantitative field, or equivalent practical experience
 </li>
 <li>
 Proficiency in querying and manipulating large datasets using SQL in cloud data warehouses, specifically Snowflake
 </li>
 <li>
 Strong experience with data visualization tools, particularly Tableau, for creating impactful dashboards and reports
 </li>
 <li>
 Advanced skills in Google Sheets for data manipulation, analysis, and modeling
 </li>
 <li>
 Demonstrated ability to use Google Slides for clear and compelling presentation of data-driven insights
 </li>
 <li>
 Experience with data automation techniques and tools (e.g., scripting languages like Python) to streamline data pipelines and reporting processes
 </li>
 <li>
 Excellent problem-solving skills and attention to detail
 
 </li>
 </ul>
 
 
 
 
 
 
 
 We offer you a competitive total rewards package, learning, and tremendous
 
 
 opportunities to grow and advance in your career. At Saviynt, it is not typical for an
 
 
 individual to be hired at or near the top of the range for their role, and final
 
 
 compensation decisions are dependent on many factors, including, but not limited to,
 
 
 location, skill sets, experience and training, licensure and certifications, and other
 
 
 relevant business and organizational needs.
 
 
 You may also be eligible to participate in a Saviynt discretionary bonus plan, subject to
 
 
 the program rules, under which an award, if any, depends on various factors, including,
 
 
 without limitation, individual and organizational performance.
 
 
 
 Saviynt is a fantastic place to work. We are a high-growth Platform-as-a-Service
 
 
 company focused on Identity Authority to power and protect the world at work. You will
 
 
 experience tremendous growth and learning opportunities through challenging yet
 
 
 rewarding work that directly impacts our customers, all within a welcoming and positive
 
 
 work environment. If you are resilient and enjoy working in a dynamic environment, you
 
 
 belong with us!
 
 
 
</div>

Sr. Data Analyst

NetApp

<div>
 
 
 Business Data Analyst , Master Data Management &amp; Business Glossary
 
 
 
 
 
 
 As a Business Data Analyst, you will be part of a dynamic team that supports NetApp business processes. Your primary focus will be on Master Data Management (MDM) for the Product domain, ensuring accurate and timely product data setup for new products and part numbers in NetApp enterprise systems such as ERP Cloud. In addition, this role will involve Business Glossary Management, including the creation of new terms, defining business attributes, and maintaining process documentation. You will collaborate closely with key business stakeholders to uphold data integrity and drive continuous improvements in data quality and governance.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Master Data Management &amp; Analysis:
 </li>
 <li>
 Provide transactional support for product master data in NetApp enterprise systems and processes.
 </li>
 <li>
 Collaborate with business users to resolve data quality gaps and analyze datasets for accuracy, consistency, and integrity.
 </li>
 <li>
 Support system enhancements and data quality initiatives, including root cause analysis and corrective actions.
 </li>
 </ul>
 
 
 
 
 
 Business Glossary Management:
 
 
 <ul>
 <li>
 Set up new business terms and maintain definitions for attributes and processes.
 </li>
 <li>
 Ensure alignment of glossary terms with organizational standards and governance policies.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Strong oral and written communication skills with excellent documentation ability.
 </li>
 <li>
 Ability to manage transactions, reconciliations, and process changes effectively.
 </li>
 <li>
 Strong business analysis skills and attention to detail.
 </li>
 <li>
 Familiarity with data quality/integrity concepts, practices, and procedures.
 </li>
 <li>
 Customer-focused mindset with a passion for prompt response and resolution.
 </li>
 <li>
 Flexibility to work in rotational shifts.
 </li>
 </ul>
 
 
 
 
 
 Education &amp; Experience:
 
 
 <ul>
 <li>
 1-2 years of experience in data management and related applications, preferably in high-tech companies.
 </li>
 <li>
 Bachelors degree or equivalent training in a relevant field.
 </li>
 <li>
 Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint). Preferred Skills:
 </li>
 <li>
 Experience with ERP systems (Oracle ERP Cloud or similar).
 </li>
 <li>
 Knowledge of Master Data Management tools and best practices.
 </li>
 <li>
 Familiarity with data governance frameworks and glossary management.
 </li>
 <li>
 Ability to work in a fast-paced, global environment and manage multiple priorities.
 </li>
 </ul>
</div>

Business Data Analyst

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the world&rsquo;s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We&rsquo;re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that&rsquo;s built on trust, care, inclusion, and fun &ndash; where everyone can succeed.
 
 
 Join us to transform the way the world works.
 
 
 
 Job Description
 
 
 
 As a Staff Forecasting &amp; Data Analyst, you will lead the analytical and modeling efforts that inform long-term workforce strategy and investment decisions. This role sits at the intersection of data science, business strategy, and operational planning, blending quantitative rigor with strategic foresight to align the deployment of human and financial resources with the Trust&rsquo;s competitive strategy, efficiency plans, and budget.
 
 
 You&rsquo;ll partner cross-functionally with Operations, Product, Data Science, Finance, and Engineering to design forecasting frameworks that anticipate change&mdash;whether driven by product innovation, policy shifts, or market dynamics&mdash;and translate those insights into actionable workforce strategies.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Own long-range forecasting models that project volume, capacity, and productivity across Trust lines of business.Maintain quarterly cross-correlation analysis tied to company growth and cross-functional initiatives.
 </li>
 <li>
 Analyze historical and emerging trends in product, policy, and user behavior to anticipate operational impact.
 </li>
 <li>
 Develop strategic scenarios that inform resource allocation, efficiency targets, and workforce investments.
 </li>
 <li>
 Partner with cross-functional leaders to align planning assumptions with business priorities, budget constraints, and growth opportunities.
 </li>
 <li>
 Translate data into strategy: distill complex modeling outcomes into clear, actionable recommendations for executives.
 </li>
 <li>
 Design scalable data infrastructure and forecasting tools in partnership with Data Science and Engineering.
 </li>
 <li>
 Automate data integration and updates in operational systems (e.g., NICE IEX, internal data tables).
 </li>
 <li>
 Monitor guardrail metrics (utilization, forecast accuracy, productivity) to ensure sustainable operational health and early detection of risk.
 </li>
 <li>
 Mentor analysts across the Resource Planning team, uplifting the analytical bar and fostering a culture of strategic thinking and data excellence.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Business, Statistics, Operations Management, Economics, or related field.
 </li>
 <li>
 8+ years of experience in forecasting, workforce planning, or predictive analytics within large-scale, global operations.
 </li>
 <li>
 Expertise in forecast modeling techniques (e.g., time-series, regression, scenario simulation) using SQL, Python, R, or similar tools.
 </li>
 <li>
 Background in business fundamentals with the ability to connect data insights to strategic decisions and operational levers.
 </li>
 <li>
 Proven ability to simplify complex systems, identify leading indicators, and communicate implications clearly to executives.
 </li>
 <li>
 Experience collaborating across Product, Finance, Data Science, and Operations organizations.
 </li>
 <li>
 Exceptional communication and storytelling skills with an ability to influence at senior levels.
 </li>
 <li>
 A passion for efficiency, scalability, and sustainable growth.
 </li>
 <li>
 Good communication skills to collaborate with cross-functional teams and present business insights effectively.
 </li>
 <li>
 Detail-oriented and organized, with the ability to handle large datasets and manage multiple priorities and tasks in a fast-paced environment.
 </li>
 <li>
 Ability to challenge incoming requests, value, and impact, driving data-driven decisions.
 </li>
 <li>
 Flexibility and adaptability to respond to changing business needs and priorities.
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Strong predictive analytical and strategic thinking skills with experience in long-range forecasting and scenario planning.
 </li>
 <li>
 Ability to translate complex data into clear business insights and executive recommendations.
 </li>
 <li>
 Skilled at identifying trends, risks, and opportunities that inform workforce and investment strategies
 </li>
 <li>
 Proficient in SQL, Excel, and Power BI, Tableau; working knowledge of Python or R for statistical analysis and automation.
 </li>
 <li>
 5+ years of experience in forecasting methodologies (time-series, regression, simulation).
 </li>
 <li>
 Comfortable working with large data sets and partnering with Data Science and Engineering on model design.
 </li>
 <li>
 Excellent communication, influence, and storytelling skills for senior audiences.
 </li>
 <li>
 Passion for simplification, scalability, and continuous improvement.
 </li>
 <li>
 Kafka
 </li>
 <li>
 GitHub Knowledge
 </li>
 <li>
 Experience with workforce management software and tools
 </li>
 <li>
 Knowledge of workforce management principles, operations, and industry best practices.
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
 <ul>
 <li>
 Data Analytics &amp; Automation
 </li>
 <li>
 Statistical &amp; Quantitative Analysis
 </li>
 <li>
 Forecasting Modeling &amp; Techniques
 </li>
 <li>
 Communication &amp; Storytelling
 </li>
 <li>
 Decision Support &amp; Problem Solving
 
 
 
 </li>
 </ul>
 You will Benefit from our Culture:
 
 
 We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Staff Forecasting & Data Analyst

Reveal HealthTech

<div>
 Thank you for considering the Medical Data Analyst position at Reveal Health Tech. We are a Series A-stage IT startup based in the US and India, delivering technology-driven solutions for the healthcare and life sciences industry as we scale toward our next phase of growth.
 
 
 
 Requirements
 
 
 
 
 About the Role
 
 
 
 We're looking for a Medical Data Analyst who can turn messy healthcare data into crisp, decision-ready insights. You'll build end-to-end analytics solutions, support value-based care initiatives, and partner closely with provider groups, specialty groups, and payers to surface opportunities that improve outcomes, margin performance, and total cost of care. You'll also play a key role in analyzing actuarial and contract performance dynamics- evaluating utilization trends, PMPM/TCOC, and contract benchmarks to ensure programs are financially aligned and sustainable.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Build analytics products: Own the full Power BI lifecycle&mdash;data modeling, DAX, visuals, RLS, deployment, and documentation
 </li>
 <li>
 Enable value-based care (VBC): Define and track measures (e.g., readmissions, avoidable ER/IP, adherence, risk acuity, PMPM/TCOC), attribution logic, and cohorting
 </li>
 <li>
 Actuarial &amp; contract performance analysis: Support actuarial-oriented analyses including PMPM + risk-adjusted cost modeling, benchmarking, savings reconciliation, trend analysis, and scenario modeling
 </li>
 <li>
 Data wrangling &amp; QA: Ingest, clean, validate, and reconcile claims, eligibility, EMR, and care-management data
 </li>
 <li>
 Performance tracking: Build scorecards and drill-downs for executives, clinicians, care teams, actuarial partners, and payer counterparts
 </li>
 <li>
 Operationalize insights: Create recurring datasets, alerts, and self-service dashboards; document metric definitions, lineage, and reconciliation rules
 </li>
 <li>
 Governance &amp; compliance: Uphold HIPAA/privacy requirements and contribute to data quality standards
 </li>
 <li>
 Ad-hoc analysis: Run cohort analyses, payer/provider comparisons, utilization analysis, risk-adjusted benchmarking, leakage patterns, and trend studies
 
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 3+ years in healthcare analytics, actuarial services, population health, or payer/provider performance
 </li>
 <li>
 Strong Power BI (DAX, Power Query/M, data modeling, RLS)
 </li>
 <li>
 Solid SQL (CTEs, window functions, performance tuning) and comfort with large datasets
 </li>
 <li>
 Hands-on with claims/eligibility (837/835 concepts, CPT/HCPCS/ICD-10, NPI, taxonomy), EMR extracts, and payer/provider data nuances
 </li>
 <li>
 Experience collaborating with provider groups and payers&mdash;requirements gathering, walkthroughs, and iteration
 </li>
 <li>
 Understanding of value-based care concepts (TCOC, PMPM, savings reconciliation, attribution, risk adjustment, quality measures)
 </li>
 <li>
 Ability to convert ambiguous analytic questions into concrete business metrics with documented methodologies
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with actuarial or contract modeling, shared savings, capitation, bundles, or delegated risk arrangements
 </li>
 <li>
 Experience in cardiology/specialty care, care-management, or remote patient monitoring
 </li>
 <li>
 Python or R for data prep/statistics; exposure to dbt or ETL tooling
 </li>
 <li>
 Cloud data platforms (Azure Synapse/SQL, Databricks, Snowflake, or Redshift)
 </li>
 <li>
 Familiarity with HEDIS/STARs, RAF/HCC models, quality specifications, and performance reporting
 </li>
 <li>
 Data governance: lineage, cataloging, metric definitions, reconciliation rules
 
 
 
 </li>
 </ul>
 
 Tech Stack You May Use Here
 
 
 
 <ul>
 <li>
 BI: Power BI (Service, Desktop, Deployment Pipelines)
 </li>
 <li>
 Data: SQL Server/Azure SQL/Synapse (or similar), Power Query/M, APIs/flat files
 </li>
 <li>
 Scripting (nice-to-have): Python (pandas), dbt
 </li>
 <li>
 DevOps: Git, CI/CD for BI artifacts, Workspaces, RLS/ALS
 </li>
 </ul>
</div>

Medical Data Analyst (Actuarial Analyst)

Explore 303+ Data analyst in Mangaluru this January. Find roles across top companies and apply now to boost your career.

303 data analyst jobs IN Mangaluru

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Medical Data Analyst (Actuarial Analyst)