Senior Data Analyst · Open to new roles

I turn messy operational data into decisions leaders use every day.

Senior data analyst with 4+ years across SaaS, healthcare and financial services. I write clean SQL and Python, get business and technical teams to agree on what a metric means, and build dashboards that replace manual reports.

See my work LinkedIn GitHub
San Francisco Bay Area · Open to relocation Remote · Hybrid · On-site
01 — Impact

Hours given back to the business.

Most of my work removes a manual step someone repeated every week, or finds money and errors hiding in the data. Highlights from my recent roles:

Weekly manual reporting and tracking−83%
Before
3 hours
After
30 min
Recoverable margin identified$500K+

3 recurring dispute drivers found in Medical Chargebacks and Negative Margin data with SQL and Tableau.

Data-quality issues stopped before production8

Caught through documented test cases on data models, mappings and transformation logic.

Sources: Atlassian (reporting automation), Cardinal Health (margin analysis), IBM (data validation).

Define the metric first

Before building anything, I get business and technical teams to agree on what a metric means, and document it in Jira and Confluence so it stays agreed.

Test the data, not just the dashboard

Documented test cases on models and mappings caught 8 data-quality issues before they reached production reports.

Automate the repeat work

If a report is rebuilt by hand every week, it should be a pipeline. Python and SQL automation cut weekly manual tracking from 3 hours to 30 minutes.

02 — Experience

Where I've worked.

SaaS, healthcare and financial services. Each role below lists the team, the stack, and what changed because of the work.

Jan 2026 – Present
Remote · Contract
Current

Atlassian

Senior Data Analyst

Program and operational analytics for Engineering Program Management.

  • Designed 8 Power BI dashboards integrating Jira, Confluence and Snowflake data, giving 5+ program leads a single source of truth for KPIs and delivery tracking across 3 teams.
  • Automated recurring reporting with Python, SQL and Excel, cutting manual tracking from 3 hours to 30 minutes per week and improving resource planning and backlog visibility.
  • Built standardized Jira and Confluence reporting structures for backlog management and documentation, improving traceability between analytics deliverables and business requirements.
  • Ran root-cause analysis on project performance trends and surfaced execution gaps in Power BI, leading to a revised sprint-intake process adopted by 3 teams.
  • SQL
  • Python
  • Power BI
  • Snowflake
  • Jira
  • Confluence
May 2025 – Dec 2025
Remote · Contract

Cardinal Health

Data Analyst

Healthcare supply chain and finance analytics: Medical Chargebacks and margin performance.

  • Analyzed Medical Chargebacks and Negative Margin data with SQL and Tableau, identifying 3 recurring dispute drivers and $500K+ in recoverable margin for the finance team.
  • Built data-prep workflows in Alteryx, Python and BigQuery to profile, cleanse, map and validate 50K+ healthcare records, catching data-quality issues before they reached finance reporting.
  • Mapped upstream and downstream chargeback processes across SAP ECC and S/4HANA, documenting system dependencies and identifying automation opportunities for the operations team.
  • Standardized data governance and business requirements documentation across healthcare analytics workflows, making reporting repeatable and audit-ready.
  • SQL
  • Tableau
  • Alteryx
  • Python
  • BigQuery
  • SAP ECC / S/4HANA
May 2020 – Nov 2023
Hyderabad, India
Full-time

IBM

Data Analyst

Enterprise data analytics for financial services clients.

  • Developed SQL and Python analyses across enterprise datasets of 1M+ rows, translating business requirements into structured insights that standardized reporting for 3 stakeholder teams.
  • Built and validated ETL pipelines into Snowflake, testing transformations and source relationships to improve data quality and reliability of downstream reporting.
  • Optimized Tableau dashboards and KPI reporting using statistical analysis and visualization best practices, helping stakeholders spot trends and prioritize actions.
  • Validated data models, mappings and transformation logic through documented test cases, resolving 8 data-quality issues before they reached production reports.
  • SQL
  • Python
  • Snowflake
  • Tableau
  • ETL
  • AWS / GCP
03 — Projects

Built in the open.

Personal projects on synthetic or public data, so you can read every line of code. They mirror the kind of work I do on the job.

Analytics engineering · Personal project

Credit Risk Analytics Pipeline

Borrower, loan and payment data modeled in three dbt layers into a portfolio KPI scorecard, orchestrated with Airflow.

Outputs
Collection efficiency, borrower risk tiers, delinquency and NPA flags, repayment ratios, portfolio health score.
Quality
Schema tests plus custom checks on repayment ratios and NPA logic.
Python→dbt Core→DuckDB·Airflow
View code
Cloud pipeline + ML · Personal project

AWS E-Commerce Churn Analytics

Serverless pipeline from raw CSVs to a Power BI report, with a Random Forest model ranking every customer by churn risk.

Finding
About 60% of customers bought only once: the biggest retention gap.
Model
7 features, including order count, lifetime revenue, delivery delays and days since last purchase.
S3→Glue→Athena→scikit-learn→Power BI
View code
Business intelligence

Superstore Sales & Profit Dashboard

End-to-end Power BI build, from raw CSV to a published report.

Includes
KPI cards, DAX measures, Power Query cleaning, and sales and profit breakdowns by category, segment and region.
CSV→Power Query→DAX→Power BI
View code
04 — Toolkit

What I use.

Grouped by what the work needs. Solid outlines are tools I've used on the job; dashed outlines are from my personal projects.

Query & warehousing

Where most of my day goes.

  • SQL
  • Snowflake
  • BigQuery
  • ETL
  • Data modeling
  • dbt
  • DuckDB
  • Athena

BI & reporting

Dashboards people open daily.

  • Power BI
  • Tableau
  • Excel
  • DAX
  • Power Query

Programming & data prep

Automation and analysis.

  • Python
  • Alteryx
  • Statistical analysis
  • pandas
  • scikit-learn

Cloud & pipelines

Moving data reliably.

  • AWS
  • GCP
  • ETL pipelines
  • AWS Glue
  • Lambda
  • Airflow

Data quality & governance

So the numbers hold up.

  • Data validation
  • Data governance
  • Requirements documentation
  • dbt tests

Working with the business

Getting to one definition.

  • Jira
  • Confluence
  • SAP ECC / S/4HANA
  • Root-cause analysis
  • Stakeholder reporting
05 — Education

Where I studied.

Engineering undergrad in India, then a US master's in computer and information sciences after three and a half years in industry.

Jan 2024 – May 2025

M.S., Computer and Information Sciences

California State University, San Bernardino · GPA 3.8/4.0

Database Systems · Machine Learning · Data Mining · Cloud Computing · Statistical Analysis

Jun 2016 – Jun 2020

B.Tech, Electronics and Communication Engineering

Vasireddy Venkatadri Institute of Technology, India · CGPA 8.75/10

06 — Contact

Let's talk about your data team.

I'm looking for senior data analyst, BI analyst and analytics engineer roles, remote, hybrid or on-site. Email is the fastest way to reach me.

Emailmreyazshaik@gmail.com LinkedInin/mohammad-reyaz-shaik GitHubReyazgitwork