Data Analyst

Title: Data Analyst

Reporting to: Senior Director, Product Development

Location: Bengaluru (Bangalore)

Opportunity

Get Well is seeking a motivated and detail-oriented Data Analyst to join our dynamic team, focused on analyzing the impact of our products across multiple client organizations.

This role is ideal for a recent graduate or early-career professional with a strong foundation in data analysis, statistical techniques, and data visualization, eager to contribute to data-driven decision-making in a client-focused environment.

The Entry-Level Data Analyst will work under the guidance of senior analysts and collaborate with cross-functional teams, including product managers and client success teams, to assess product performance and deliver actionable insights. This position offers an opportunity to grow in a dynamic, client-centric organization.

Responsibilities

Data Analysis and Impact Assessment

• Assist in analyzing client data to evaluate the impact of our products on client outcomes, including key performance indicators (KPIs) such as user engagement, operational efficiency, and ROI.
• Perform basic statistical analysis to identify trends, patterns, and correlations in the datasets.
• Support the development of reports and dashboards to communicate product performance insights to internal teams and clients.
• Contribute to A/B testing, cohort analysis, and other experimental methods to assess the effectiveness of product features and interventions.
  
  

Data Visualization and Reporting

• Create compelling, client-facing data visualizations and dashboards using tools like Apache Superset, Power BI, or Looker to to present findings to technical and non-technical stakeholders..
• Assist in designing client-facing dashboards that highlight product impact and key metrics.
• Ensure visualizations are accurate, visually appealing, and aligned with client reporting needs.
  
  

Client Collaboration and Strategy

• Work with client success teams to understand client goals, data needs, and success criteria, tailoring analyses to meet specific client requirements.
• Collaborate with cross-functional teams to define KPIs and metrics that align with their business objectives and product usage scenarios.
• Participate in team meetings, sprint reviews, and agile processes, providing input on analytical tasks.
• Communicate findings clearly to internal stakeholders, with guidance from senior analysts.
  
  

Data Management and Preparation

• Query and clean datasets using SQL or similar tools under guidance.
• Support data quality checks to ensure accuracy and consistency in analytical outputs.
• Assist in documenting data sources, metrics, and analytical processes for transparency and reproducibility..
• Handle data with care, adhering to privacy and security standards (e.g., GDPR, CCPA) as directed..
  
  

Requirements

Education & Experience

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field
• 0-2 years of experience in data analysis (internships, academic projects, or entry-level roles acceptable)
• Experience with data visualization or reporting tools through coursework, internships, or personal projects.
  
  

Technical Proficiency

• Proficiency in SQL for querying and manipulating datasets.
• Experience with data visualization tools (e.g., Tableau, Power BI, Apache Superset, Excel) for creating charts and dashboards
• Basic programming skills in Python or R for statistical analysis, data wrangling, and automation.
• Familiarity with statistical concepts (e.g., descriptive statistics, hypothesis testing, regression analysis).
• Knowledge of spreadsheet tools (e.g., Excel, Google Sheets) for data manipulation and analysis.
  
  

Soft Skills

• Strong analytical and problem-solving skills with attention to detail.
• Good communication skills, with the ability to present complex data insights to non-technical client stakeholders in a clear and concise manner.
• Ability to work collaboratively in a team-oriented, fast-paced environment.
• Eagerness to learn and adapt to new tools, techniques, and client requirements.
• Interest in pursuing certifications in data analysis or visualization
• Commitment to ethical data practices and maintaining data confidentiality.
  
  

About Get Well

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME