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Optum

Data Analyst - Snowflake, Data Bricks and Azure Data Factory

Posted 2 Days Ago
Be an Early Applicant
In-Office
Bengaluru, Bengaluru Urban, Karnataka
Junior
In-Office
Bengaluru, Bengaluru Urban, Karnataka
Junior
The Data Analyst will develop analytical models, create insights from business problems, and communicate findings to internal clients effectively.
The summary above was generated by AI
Requisition Number: 2361277
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities:
  • Work on business analysis requests around different business problems
  • Creating analytical findings for the internal clients of UHG as per specifications received from them using information in UHG Specific databases
  • Interact with the business users to understand their requirements, create insights and explain technical analysis in non-technical language
  • Develop models for the analysis and execute as per schedule
  • Develop impactful presentations and documents
  • Perform quality checks on the analysis and data for accuracy, completeness, and consistency before sending it across to the clients both internal and external
  • Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:
  • Bachelors / 4-year university degree
  • 1+ years of business experience in analytics, machine learning projects in Business Intelligence/Business Analysis space
  • Experience on handling BIG Data Structure for Exploratory Data Analysis
  • End to end experience in designing and deploying models and look out end to end productionize pipeline
  • Deep understanding on Responsible use of AI
  • Understanding on bias detection and mitigation strategy
  • Excellent understanding of basic statistics and advance mathematics to analyze and understand data patterns
  • Good understanding of analytics tools: R, Python, SQL, Databricks
  • Good knowledge of Business intelligence tools like Tableau/Power BI, etc.
  • Good knowledge around Predictive & Prescriptive Analytics techniques like Hypothesis testing, Probability, Supervised & Unsupervised Learnings
  • Proven good communication skills in English (spoken and written)
  • Proven solid problem-solving skills
  • Proven ability in slicing and dicing of data structures, Natural Language Processing and good to have fundamental understanding on Gen-AI & Large Language Models
  • Proven ability to work well both independently and within a team in a deadline driven environment
  • Proven ability to take responsibility and deliver use cases independently

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

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