1

Senior Python Data Analyst Jobs Near Me

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Python or R for exploratory analysis and data prep preferred. * Azure DevOps or Git-based version control for BI asset deployment preferred. * Power BI Premium / Fabric capacity management, workspace ...

Experience with object-oriented programming languages, such as Python * Advanced Alteryx expertise * Advanced SQL expertise * Data Modeling experience * Strong analytical and problem-solving skills

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

Sr Business Data Analyst

Columbus, OH · On-site

$100K - $150K/yr

Sr Consult Bus Data Analysis - GA07AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every ...

Data Governance Senior Position Summary The Data Governance Senior is responsible for designing ... Python Strong analytical, communication, and stakeholder management skills Tools & Platforms AWS ...

Works with Business Analysts and Sr Business Analysts to implement the most effective models ... Experience with programming or coding (Python, Java, VB, etc.), required DHL is an equal ...

Works with Business Analysts and Sr Business Analysts to implement the most effective models ... Experience with programming or coding (Python, Java, VB, etc.), required DHL is an equal ...

... Python, Data Robot, and SAS. * Experience using BI Tools; preferably Tableau * Experience using SQL; preferably Postgres SQL and T-SQL * 3 years leading agile project delivery for analytical topics ...

next page

Showing results 1-20

Senior Python Data Analyst information

See salary details

$55K

$99.2K

$135.5K

How much do senior python data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior python data analyst in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What cities are hiring for Senior Python Data Analyst jobs?

Cities with the most Senior Python Data Analyst job openings:

What states have the most Senior Python Data Analyst jobs?

States with the most job openings for Senior Python Data Analyst jobs include:

What are the most commonly searched types of Python Data Analyst jobs?

The most popular types of Python Data Analyst jobs are:

A map of the United States highlighting the number of Senior Python Data Analyst job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Senior Python Data Analyst job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Senior Data Analyst

EASE Logistics

Dublin, OH • On-site

$81K - $102K/yr

Full-time

Re-posted 15 hours ago


Job description

ESSENTIAL DUTIES

Reporting & Dashboard Development

  • Design, build, and maintain Power BI dashboards and reports for operations, finance, sales, and executive stakeholders.
  • Develop and manage semantic data models in Power BI using DAX, including measures, calculated columns, and row-level security (RLS).
  • Analyze and tune underperforming reports and queries to improve load times and reliability.
  • Establish and document self-service BI standards and a shared metrics catalog.

Data & SQL

  • Write complex T-SQL queries, CTEs, window functions, multi-table joins against Azure SQL and Microsoft Fabric.
  • Collaborate with data engineers to define data requirements, validate pipeline outputs, and ensure data quality upstream of reporting.
  • Identify data anomalies and inconsistencies; work upstream to resolve at the source rather than patching in reports.

Stakeholder Collaboration

  • Partner with department leaders across operations, finance, and customer experience to translate business questions into measurable data products.
  • Lead requirements-gathering sessions and translate ambiguous requests into defined scopes with clear deliverables and timelines.
  • Communicate findings clearly to non-technical audiences — written, visual, and verbal.
  • Contribute to special projects, operational improvement initiatives, and data-driven strategy efforts.

Team & Process

  • Recommend and implement process improvements within the analytics function.
  • Uphold data governance, security, and confidentiality standards across all reporting environments.
  • Participate in sprint planning and contribute to team workflows using Azure DevOps or equivalent tooling.

Qualifications

Education

  • Bachelor’s degree preferred in a quantitative field (Computer Science, Statistics, Mathematics, Information Systems).
  • Equivalent professional experience (4+ years) accepted in lieu of degree.
  • Transportation or logistics industry background is a strong plus.

Experience

  • Required- 4+ years of hands-on experience in a BI, data analytics, or reporting analyst role.
  • Required- Expert-level Power BI — semantic modeling, DAX (measures vs. calculated columns), RLS, gateways, and deployment pipelines.
  • Required- Strong T-SQL — complex queries, CTEs, window functions, query optimization; experience with Azure SQL Database.
  • Required - Proven ability to work with messy, multi-source operational data — not just clean, pre-modeled datasets.
  • Preferred - Experience with Microsoft Fabric, Azure Synapse Analytics, OneLake architecture and Fabric lakehouses or warehouses or comparable cloud data platform.
  • Preferred - Direct experience with McLeod TMS data preferred (orders, loads, lanes, drivers, invoicing).
  • Preferred - Experience in logistics, transportation, supply chain, or a similarly operations-heavy industry.

Knowledge, Skills, & Abilities

  • Ability to communicate complex data findings to non-technical stakeholders clearly and confidently.
  • Ability to adapt and work in a fast-paced, operations-heavy environment.
  • Strong problem-solving skills; comfortable working with ambiguous or incomplete requirements.
  • Experience with ADF or analytics engineering practices for building and testing data models preferred.
  • Python or R for exploratory analysis and data prep preferred.
  • Azure DevOps or Git-based version control for BI asset deployment preferred.
  • Power BI Premium / Fabric capacity management, workspace governance, and admin experience preferred.