Work alongside Strategy & Transactions team members as they assist clients in navigating new ... Pandas, NumPy, scikit-learn; stats models for inference/forecasting; Plotly/Matplotlib for ...
Work alongside Strategy & Transactions team members as they assist clients in navigating new ... Pandas, NumPy, scikit-learn; stats models for inference/forecasting; Plotly/Matplotlib for ...
... Fabric * Assist with workload assessments, capacity planning, and cloud cost optimization ... Strong Python skills for data engineering, including pandas, PySpark, REST API integration, and ...
New
Quick apply
... Fabric * Assist with workload assessments, capacity planning, and cloud cost optimization ... Strong Python skills for data engineering, including pandas, PySpark, REST API integration, and ...
New
AWS / Databricks Cloud Data Engineer
Indianapolis, IN · On-site +1
Participate in team stand-ups and other agile ceremonies to support project delivery * Assist in ... pandas experience a plu * Leveraging SQL and python data tooling develop scalable, optimized ETL ...
AWS / Databricks Cloud Data Engineer
Indianapolis, IN · On-site +1
Participate in team stand-ups and other agile ceremonies to support project delivery * Assist in ... pandas experience a plu * Leveraging SQL and python data tooling develop scalable, optimized ETL ...
AWS / Databricks Cloud Data Engineer
Indianapolis, IN · On-site
$115K - $149K/yr
Participate in team stand-ups and other agile ceremonies to support project delivery * Assist in ... pandas experience a plu * Leveraging SQL and python data tooling develop scalable, optimized ETL ...
AWS / Databricks Cloud Data Engineer
Indianapolis, IN · On-site
$115K - $149K/yr
Participate in team stand-ups and other agile ceremonies to support project delivery * Assist in ... pandas experience a plu * Leveraging SQL and python data tooling develop scalable, optimized ETL ...
AWS / Databricks Cloud Data Engineer
Indianapolis, IN · On-site
$115K - $149K/yr
Participate in team stand-ups and other agile ceremonies to support project delivery * Assist in ... pandas experience a plu * Leveraging SQL and python data tooling develop scalable, optimized ETL ...
Quick apply
AWS / Databricks Cloud Data Engineer
Indianapolis, IN · On-site
$115K - $149K/yr
Participate in team stand-ups and other agile ceremonies to support project delivery * Assist in ... pandas experience a plu * Leveraging SQL and python data tooling develop scalable, optimized ETL ...
Assistant Pandas information
What is the difference between Assistant Pandas vs Data Analyst?
| Aspect | Assistant Pandas | Data Analyst |
|---|---|---|
| Required Credentials | Basic knowledge of Python and Pandas, often an associate degree or relevant coursework | Bachelor's degree in data science, statistics, or related field; some roles prefer certifications |
| Work Environment | Data teams, entry-level positions, collaborative office settings | Business environments, cross-departmental teams, more client interaction |
| Employer & Industry Usage | Tech companies, finance, marketing, research institutions | Corporate, finance, healthcare, consulting firms |
| Common Search & Comparison | Often compared for entry-level data roles, supporting data analysis tasks | More advanced, analytical decision-making responsibilities |
Assistant Pandas typically serves as an entry-level role supporting data analysis with Python and Pandas skills, while Data Analysts perform more comprehensive data interpretation and reporting. The roles overlap in technical skills but differ in scope and experience level.

Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
59th of 138 rated financial services
Job description
The AI & Analytics Center of Excellence within Strategy & Transactions is looking for a Senior Product Specialist to be a part of this incredible team. This role focuses on rapid analytics and AI prototyping, building proof-of-value solutions in weeks rather than months. The work we do is real, with a real impact on the world. Join us!
Recruiting for this role ends on 6/21/2026
Work You'll Do
As part of the team, you will deliver decision-ready analytics and rapidly prototype AI-powered tools across Strategy & Transactions engagements. You will:
- Frame high-value business questions, define KPIs, and develop hypotheses that drive actionable analysis for deal teams and clients.
- Assess data sources, evaluate quality and feasibility, and define minimum viable datasets to support rapid analytics delivery.
- Rapidly build proof-of-value prototypes and MVPs-including dashboards, predictive models, segmentation analyses, and AI-enabled analytics-using real client data.
- Apply reusable frameworks, templates, and accelerators to compress delivery timelines and reduce project risk.
- Establish lightweight data governance, metric definitions, and documentation to ensure solutions are sustainable beyond initial delivery.
- Prepare handoff packages-including requirements, code, architecture plans, and delivery roadmaps-for longer-term implementation teams.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The AI & Analytics CoE acts as a rapid analytics development engine supporting Strategy & Transactions engagements by building prototypes and MVP analytics solutions that inform critical business decisions.
Required:
- Bachelor's degree and 2+ years of experience in analytics, data science, or consulting.
- 2+ years experience using Python for analytics and modeling (e.g., Pandas, NumPy, scikit-learn; stats models for inference/forecasting; Plotly/Matplotlib for visualization or similar libraries).
- 2+ years experience using applied modeling: e.g., regression/classification, tree-based models (random forest, GBMs), clustering/segmentation, and time-series forecasting basics.
- 2+ years experience using Structured Query Language (SQL) for data extraction and transformation (CTEs, window functions, query readability).
- 2+ years experience with Git and collaborative workflows (PRs, code review, reproducibility).
- Experience using LLMs and AI-assisted development in day-to-day work: coding with AI assistants, using APIs for data collection, and integrating AI into analytical workflows.
- Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available
- Experience with cloud data platforms/warehouses (e.g., Snowflake, BigQuery, Redshift) and/or Spark (e.g., Databricks/EMR).
- Experience communicating analytical insights through dashboards or visualizations using Tableau, Power BI, or Python visualization libraries.
- Experience producing reliable reporting datasets: basic pipeline thinking, refresh schedules, data quality validation.
- Strong foundation in statistics (confidence intervals, regression interpretation, bias/variance intuition) and evaluation discipline (train/test splits, cross-validation, leakage awareness, appropriate metrics).
- Familiarity with dbt, Airflow, or equivalents and data quality tooling/practices.
- Familiarity with financial concepts and interest in relevant offerings (Strategy, M&A, Sustainability, etc.).
- Experience collaborating across teams, coaching junior staff, and influencing others in a project-based environment.
- Degree in Computer Science, Statistics, Mathematics, Economics, Finance, Engineering, Natural Sciences, or another quantitative field.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
The AI & Analytics Center of Excellence within Strategy & Transactions is looking for a Senior Product Specialist to be a part of this incredible team. This role focuses on rapid analytics and AI prototyping, building proof-of-value solutions in weeks rather than months. The work we do is real, with a real impact on the world. Join us!
Recruiting for this role ends on 6/21/2026
Work You'll Do
As part of the team, you will deliver decision-ready analytics and rapidly prototype AI-powered tools across Strategy & Transactions engagements. You will:
- Frame high-value business questions, define KPIs, and develop hypotheses that drive actionable analysis for deal teams and clients.
- Assess data sources, evaluate quality and feasibility, and define minimum viable datasets to support rapid analytics delivery.
- Rapidly build proof-of-value prototypes and MVPs-including dashboards, predictive models, segmentation analyses, and AI-enabled analytics-using real client data.
- Apply reusable frameworks, templates, and accelerators to compress delivery timelines and reduce project risk.
- Establish lightweight data governance, metric definitions, and documentation to ensure solutions are sustainable beyond initial delivery.
- Prepare handoff packages-including requirements, code, architecture plans, and delivery roadmaps-for longer-term implementation teams.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The AI & Analytics CoE acts as a rapid analytics development engine supporting Strategy & Transactions engagements by building prototypes and MVP analytics solutions that inform critical business decisions.
Required:
- Bachelor's degree and 2+ years of experience in analytics, data science, or consulting.
- 2+ years experience using Python for analytics and modeling (e.g., Pandas, NumPy, scikit-learn; stats models for inference/forecasting; Plotly/Matplotlib for visualization or similar libraries).
- 2+ years experience using applied modeling: e.g., regression/classification, tree-based models (random forest, GBMs), clustering/segmentation, and time-series forecasting basics.
- 2+ years experience using Structured Query Language (SQL) for data extraction and transformation (CTEs, window functions, query readability).
- 2+ years experience with Git and collaborative workflows (PRs, code review, reproducibility).
- Experience using LLMs and AI-assisted development in day-to-day work: coding with AI assistants, using APIs for data collection, and integrating AI into analytical workflows.
- Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available
- Experience with cloud data platforms/warehouses (e.g., Snowflake, BigQuery, Redshift) and/or Spark (e.g., Databricks/EMR).
- Experience communicating analytical insights through dashboards or visualizations using Tableau, Power BI, or Python visualization libraries.
- Experience producing reliable reporting datasets: basic pipeline thinking, refresh schedules, data quality validation.
- Strong foundation in statistics (confidence intervals, regression interpretation, bias/variance intuition) and evaluation discipline (train/test splits, cross-validation, leakage awareness, appropriate metrics).
- Familiarity with dbt, Airflow, or equivalents and data quality tooling/practices.
- Familiarity with financial concepts and interest in relevant offerings (Strategy, M&A, Sustainability, etc.).
- Experience collaborating across teams, coaching junior staff, and influencing others in a project-based environment.
- Degree in Computer Science, Statistics, Mathematics, Economics, Finance, Engineering, Natural Sciences, or another quantitative field.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.