1

Manager Data Analyst Machine Learning Jobs in Philadelphia, PA

Senior Data Analyst

Conshohocken, PA

$84K - $106K/yr

Working closely with the Senior Manager, Data Analytics, this role serves as a senior business ... Self-starter with a passion for continuous learning and creative problem solving. * Demonstrated ...

Senior Data Analyst

Conshohocken, PA · On-site

$84K - $106K/yr

Working closely with the Senior Manager, Data Analytics, this role serves as a senior business ... Self-starter with a passion for continuous learning and creative problem solving. * Demonstrated ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

... data management; data quality, security, storage, and database tuning throughout the data lifecycle. • Collaborate with Data Analyst to operationalize ML models using Azure Machine Learning. • ...

Expertise in SQL for data querying, performance optimization, and database management. * Proficiency in Python or R for statistical analysis, automation, and machine learning model development.

Expertise in SQL for data querying, performance optimization, and database management. * P roficiency in Python or R for statistical analysis, automation, and machine learning model development.

Expertise in SQL for data querying, performance optimization, and database management. * Strong proficiency in Python or R for statistical analysis, automation, and machine learning model development.

Senior Data Analyst

Philadelphia, PA · On-site +1

$86K - $109K/yr

Experience using machine learning techniques * Comfortable working with multi-TB cloud data ... Knowledge of Ad Tech, Google Ad Manager and all of its fun quirks (so fun) Nice to haves:

next page

Showing results 1-20

Manager Data Analyst Machine Learning information

See Philadelphia, PA salary details

$34.3K

$83.4K

$137.2K

How much do manager data analyst machine learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for manager data analyst machine learning in Philadelphia, PA is $83,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Analyst Machine Learning vs Data Scientist?

AspectManager Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related; experience in machine learningBachelor's/Master's/PhD in Data Science, Statistics, or related; strong programming skills
Work EnvironmentTeam leadership, project management, cross-department collaborationResearch, model development, data exploration
Employer & Industry UsageBusiness analytics, tech companies, finance, healthcareTech firms, research institutions, consulting

While both roles involve data analysis and machine learning, the Manager Data Analyst Machine Learning focuses on leading teams and managing projects, whereas Data Scientists primarily develop models and perform in-depth data research.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Philadelphia, PA? The most popular types of Data Analyst Machine Learning jobs in Philadelphia, PA are:
Senior Data Analyst

Senior Data Analyst

Suvoda

Conshohocken, PA

$84K - $106K/yr

Other

Re-posted 25 days ago


Job description

The Senior Data Analyst demonstrates analytical thinking and creative problem solving for business questions across the organization. 

Working closely with the Senior Manager, Data Analytics, this role serves as a senior business partner to leaders across the company - owning analytics engagements end-to-end, contributing to team planning, and helping shape how Suvoda adopts AI in analytics. 

Our goal is to build a strong data culture at Suvoda using the strategy of the Data Analytics Cycle. Success will derive from developing new BI solutions, leading AI-enabled analytics pilots, and automating ad-hoc analysis for clear, action-oriented, evolving insights that inform Suvoda's strategy. 

Responsibilities: 

  • Own analytics engagements with cross-functional stakeholders end-to-end - from requirements gathering through delivery and adoption - for new and improved BI solutions. 
  • Develop, test, publish, and maintain Power BI reports and dashboards using data from multiple sources (Snowflake, Web (API), etc.). 
  • Maintain Power BI reports post-launch - gathering stakeholder feedback, supporting users, and managing workspace and report-level permissions. 
  • Transform and analyze multiple data sources from Suvoda's systems. 
  • Build and maintain dbt models in Snowflake to support Power BI reporting. 
  • Build and maintain centralized semantic models / Datasets (Power BI) for departmental reporting, including custom measures, summary tables, etc. 
  • Utilize Power Query to further clean and format data for analysis. 
  • Leverage AI coding assistants (e.g., Claude Code) to accelerate SQL, dbt, and Power BI development. 
  • Maintain Suvoda's business glossary, consolidating metrics calculations from Power BI, dbt, and SQL and cataloging business-critical system fields with links to terms and definitions. 
  • Support the Senior Manager, Data Analytics in piloting AI-enabled analytics workflows - including text-to-SQL on Snowflake - to enable self-service exploration for internal stakeholders. 
  • Present analytics findings to senior stakeholders and recommend new/adjusted KPIs to inform business decisions. 
  • Contribute to team planning and roadmap prioritization with the Senior Manager, Data Analytics, and mentor junior analysts on SQL, dbt, and Power BI best practices. 

Requirements:  

  • 5+ years' experience in business analyst, data analyst, strategy analyst, process analyst or similar role. 
  • 5+ years' experience using a business analytics service or tool: Power BI, Tableau, MicroStrategy, or equivalent. 
  • 5+ years' experience in one or more of the following: SQL (preferred), dbt, DAX, Python or equivalent. 
  • Experience with Snowflake or an equivalent cloud data warehouse (Databricks, BigQuery, Redshift) preferred. 
  • Proficient in Excel, Salesforce, Jira, and standard analytics and presentation tools.  
  • Hands-on experience with AI coding assistants (e.g., Claude Code, Cursor, Copilot) and/or text-to-SQL or other LLM-based analytics tools preferred. 
  • Self-starter with a passion for continuous learning and creative problem solving. 
  • Demonstrated experience partnering with senior stakeholders on cross-functional initiatives, including leading discovery, driving adoption, and influencing decisions. Â