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Shikha J. — Mid-Level Data Analyst from United States

Shikha J.

Mid-Level Data Analyst

United States 2-3 years
Open to offersNew to Platform
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About

Shikha J., a seasoned Technical Data Analyst, brings over 3 years of experience in the healthcare and technology domains, with a focus on building KPI frameworks and governed datasets. She has crafted scalable Databricks and Snowflake pipelines that enhance executive reporting and facilitate self-serve analytics. In her role at PacificSource Health Plans, she spearheaded the development of standardized KPI definitions, elevating reporting consistency and trust while optimizing analytics efficiency by 26% through automated data enrichment. At the Maryland Department of Health, Shikha engineered automated Python/SQL pipelines, advancing reporting efficiency by 21% and cutting operational costs by 20% via root-cause analysis of patient safety data. Her academic background includes a Master's in Information Systems from the University of Maryland, Baltimore County, and a Bachelor's in Electronics & Telecommunication from Savitribai Phule Pune University.

Experience

  • Value-Based Payments Data Analyst

    PacificSource Health Plans · 2023 — 2025
    Developed governed KPI definitions and metric logic for Risk + Finance reporting to enhance consistency across executive and operational reporting. Created and operationalized ELT pipelines from Databricks to Snowflake, which streamlined analytics processes and automated enrichment. Delivered curated reporting datasets and Power BI reporting layers, facilitating faster stakeholder turnaround with reusable tables for self-serve analysis.
  • Data Analyst Intern

    Maryland Department of Health · 2022 — 2023
    Created automated pipelines and dashboards using Python and SQL, enhancing reporting efficiency and enabling self-serve performance tracking. Conducted exploratory data analysis and root-cause analysis on patient safety datasets to identify bottlenecks and optimize resource allocation. Implemented cohort analysis and A/B testing measures to standardize KPIs and improve leadership reporting.
  • Graduate Data Science Researcher

    UMBC · 2023 — 2023
    Utilized forecasting and regression to model engagement drivers, leading to improved telehealth usage. Developed Python workflows for data preparation and modeling that enhanced risk identification through validation checks. Facilitated the communication of analytical findings into recommendations that supported execution alignment and informed decision-making.
  • NetSuite Administrator

    Zwift · 2022 — 2022
    Automated the integration of Shopify transactional data into NetSuite ERP using ETL workflows, which improved operational efficiency. Collaborated with Finance and IT to standardize reporting logic, enhancing consistency and auditability of datasets. Established validation and reconciliation checks to proactively identify source-to-target discrepancies and improve accuracy.

Skills & Expertise

Education

  • Master of Science in Information Systems
    University of Maryland, Baltimore County · 2021 — 2023
  • Bachelor of Engineering in Electronics & Telecommunication
    Savitribai Phule Pune University · 2016 — 2020