Data Analyst (Commercial Data & Analytics) Job at Baxter (Warsaw)

Data Analyst (Commercial Data & Analytics)

A business analyst based in Poland, dedicated to data analysis across WEU.

Location

Poland , Warsaw

Salary:

128000.00 PLN / Year

Baxter

Expiration Date

Until further notice

Requirements

University degree (e.g. Economics, Econometrics, Big Data, Mathematics, Computer Science)
3 years of relevant experience in depth data analysis
Excellent analytical skills combined with outstanding technical skills
Proficiency in data analysis tools, including SQL, Alteryx, Excel, Tableau/Power BI
Proficient in English and Polish
Strong interpersonal and intercultural communication skills (written and verbal)
Demonstrates ownership, autonomy, and determination to achieve results with a flexible, solution‑oriented approach
Open to change, driving process optimization and challenging existing solutions with appropriate urgency and decisiveness
Soft skills: open‑minded, collaborative team player with a positive communication style

Job Responsibility

Develop, maintain, and optimize data models and data sources to support commercial reporting and analytics needs
Work with SQL databases to extract, transform, and validate data from multiple sources
Build automated workflows and data pipelines using Alteryx to improve data quality, efficiency, and reliability
Ensure data accuracy, completeness, and integrity by identifying and resolving data quality issues
Design, maintain, and enhance dashboards and visual analytics using Tableau/ Power BI
Collaborate with internal teams to ensure data alignment and integration across systems
Stakeholder Engagement and Communication: Develop and maintain relationships with internal Teams stakeholders
Development of tools used by the Analytics team
Provide local analytical support to commercial and cross‑functional teams

What we offer

Competitive salary, annual bonuses, recognition award program
Possibilities for development on a personal and professional level
Private medical care (Lux Med)
Life Insurance
Multisport card
Bax4U - cafeteria/lunch cards (300 PLN)
PPE program with very attractive conditions available for each employee after 3 months
Educational support: fully covered language courses (English or other languages according to business needs), financial certifications (ACCA, CIMA)
Co-financing of holidays and an additional 2 days off from work annually
Day off for birthday

Fulltime

Senior Data Analyst, Commercial & Operations

Aurora’s mission is to deliver the benefits of self-driving technology safely, q...

Location

United States , Dallas

Salary:

104000.00 - 150000.00 USD / Year

Aurora Innovation

Expiration Date

Until further notice

Requirements

3-6 years of experience as a Data Analyst, Data Scientist, or similar technical role
Proven experience taking Data Analytics projects end-to-end, from synthesizing business needs to building and maintaining data pipelines
Advanced proficiency with relational databases (SQL, PostgreSQL, etc.) and knowledge of Data Engineering best practices
Intermediate knowledge of data analytics infrastructure, including experience with data transformation tools like DBT and various visualization frameworks/tools
Competency in Python, demonstrated by the ability to write readable, maintainable, and easily interpretable code
Demonstrated ability to work effectively and collaboratively in a highly cross-functional, fast-moving, and high-stakes environment
Excellent communication skills with a proven ability to translate and cascade executive input into actionable, data-driven technical analysis for both technical and non-technical stakeholders

Job Responsibility

Develop data tools and insights to drive the development and operation of a commercially viable product, with a focus on our on-road performance and commercial/operational goals
Partner closely with those stakeholders to design and implement metrics and dashboards to help them measure, understand, and improve decision making, performance, and efficiency
Collaborate with a team of world-class Data Scientists and Analysts on problems spanning commercialization, operations, safety, hardware, and software
Collaborate with our Data Science & Analytics and Engineering communities to ensure the adoption of best practices and suggest improvements

What we offer

Annual bonus
Equity compensation
Benefits

Fulltime

Senior Data Analyst, Commercial & Operations

Aurora’s mission is to deliver the benefits of self-driving technology safely, q...

Location

United States of America , Mountain View

Salary:

115000.00 - 170000.00 USD / Year

Aurora Innovation

Expiration Date

Until further notice

Requirements

3-6 years of experience as a Data Analyst, Data Scientist, or similar technical role
Proven experience taking Data Analytics projects end-to-end, from synthesizing business needs to building and maintaining data pipelines
Advanced proficiency with relational databases (SQL, PostgreSQL, etc.) and knowledge of Data Engineering best practices
Intermediate knowledge of data analytics infrastructure, including experience with data transformation tools like DBT and various visualization frameworks/tools
Competency in Python, demonstrated by the ability to write readable, maintainable, and easily interpretable code
Demonstrated ability to work effectively and collaboratively in a highly cross-functional, fast-moving, and high-stakes environment
Excellent communication skills with a proven ability to translate and cascade executive input into actionable, data-driven technical analysis for both technical and non-technical stakeholders

Job Responsibility

Develop data tools and insights to drive the development and operation of a commercially viable product, with a focus on our on-road performance and commercial/operational goals
Partner closely with those stakeholders to design and implement metrics and dashboards to help them measure, understand, and improve decision making, performance, and efficiency
Collaborate with a team of world-class Data Scientists and Analysts on problems spanning commercialization, operations, safety, hardware, and software
Collaborate with our Data Science & Analytics and Engineering communities to ensure the adoption of best practices and suggest improvements

What we offer

annual bonus
equity compensation
benefits

Fulltime

Manager, Data & Commercial Analytics

We are seeking a Manager, Data & Commercial Analytics, for a project based assig...

Location

United States , Los Angeles

Salary:

Not provided

Tech Holding

Expiration Date

Until further notice

Requirements

7+ years of experience in analytics, including leadership exposure
Advanced SQL proficiency
Strong experience with BI tools and dashboard development
Demonstrated commercial acumen in performance-driven environments
Experience managing or mentoring analysts
High discretion and sound judgment
Polished and concise communication style
Comfortable working with both creative and commercial leaders
Pragmatic, accountable, and execution-oriented
Strong storytelling ability with data

Job Responsibility

Lead the Data & Commercial Analytics function
Own analytics intake, prioritization, and delivery across commercial domains
Define and implement KPI frameworks and performance reporting cadence
Establish a consistent reporting house style and performance rhythm across channels
Manage and develop a Senior Data Analyst and BI Analyst
Set performance standards, goals, and professional development paths
Foster a disciplined yet pragmatic analytics culture
Lead high-impact commercial analyses across retail, ecommerce, and wholesale
Drive client analytics initiatives and experimentation
Elevate the quality, clarity, and business relevance of insights delivered to leadership

Senior Commercial Data Analyst

At Moss, we give finance professionals the power to automate their day-to-day an...

Location

Germany; United Kingdom; Netherlands , Berlin; London; Amsterdam

Salary:

Not provided

Moss

Expiration Date

Until further notice

Requirements

Proven experience in data analysis, business intelligence, or revenue operations within a growing B2B SaaS environment
Exposure to Customer Success teams or similar commercial functions (Sales, RevOps, Product Growth)
SQL working proficiency (non-negotiable)
Experience with Salesforce (preferred) and familiarity with CS tools
Experience with BI tools (Metabase is a bonus)
Fluent in written and spoken English
Technically and Analytically Skilled
Impact-led Project Manager
Business Expert
Collaborative Communication

Job Responsibility

Deliver customer insights
Build and maintain dashboards
Ensure data accuracy
Collaborate cross-functionally
Enable proactive actions
Support forecasting & strategy
Improving Standards

What we offer

Top-of-market compensation package, including equity
20 days “work from abroad”
600EUR/GBP Learning & Development Budget
other local benefits

Fulltime

Commercial Finance Data Analyst - FTC

We’re looking for a Data Analyst to join our Commercial Finance team on a 12-mon...

Location

United Kingdom , Bristol

Salary:

Not provided

Giacom

Expiration Date

Until further notice

Requirements

Proven experience producing reports and developing analytics solutions
Strong Excel skills and demonstrable experience with Power BI
Ability to interpret complex data and communicate insights clearly
A curious, analytical mindset with strong problem-solving skills
Good business and commercial understanding
Ability to work independently and collaborate across teams
Experience with Snowflake, SQL, Python, or R, is highly desirable
Understanding of financial processes, billing, or commercial agreements
Interest in AI and how it can enhance analytics

Job Responsibility

Produce and enhance reporting and dashboards using Excel, Power BI, and other BI tools
Analyse and interpret data to support revenue, margin and cost performance across the business
Support rebate and billing processes, including calculations and reconciliations
Ensure data accuracy and consistency across multiple sources
Drive consistency in reporting across the Giacom Group
Play a key role in our Data Acceleration programme, helping improve how we use and manage data
Contribute to the development of data governance standards and best practices
Build strong relationships across the business, acting as a trusted partner and reporting advocate

What we offer

Hybrid working
Investment in your future career with a variety of learning and development opportunities
No dress code - embrace the freedom to bring your whole self to work
25 days annual leave, plus bank holidays. You'll even get your birthday off, too
A pension plan for your future
Complimentary refreshments in all our offices

Fulltime

Senior Fraud MIS and Analytics Analyst for Commercial Cards

The Senior Fraud Analytics Analyst is responsible for overseeing day-to-day frau...

Location

Malaysia , Kuala Lumpur

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's degree in Data Science, Statistics, Finance, Computer Science, or a related field
2-4 years of experience in fraud analytics, fraud risk operations, or MIS reporting or similar within banking, fintech, or payment services
Willing to work in shifting schedule, 24/7 with possible weekends and holidays
Strong experience in fraud analytics or fraud risk management
Ability to review, validate, and interpret complex analytical outputs
Strong hands-on skills in SQL, Excel, and at least one analytics or scripting tool (e.g., Python, R, SAS)
Familiarity with BI tools such as Tableau, Power BI, or similar is preferred
Experience with fraud detection platforms or rule engines

Job Responsibility

Review and validate analytical outputs to ensure quality, consistency, and accuracy
Support identification of fraud trends, patterns, and anomalies through data analysis
Provide guidance on analytical approaches and methodologies
Actively contribute to analytical activities where required, ensuring continuity and operational resilience
Support team members in handling complex or high-risk scenarios
Provide subject matter expertise across fraud analytics processes
Ensure adherence to established processes, policies, and control frameworks
Monitor outputs for potential risks or inconsistencies and initiate corrective actions
Support audit and compliance activities through accurate documentation and validation
Support shift-based coverage ensuring continuity of operations across defined business hours

Fulltime

Staff Data Scientist, Commercial Analytics

About the Position 10x Genomics sells high-complexity capital equipment and cons...

Location

United States , Pleasanton

Salary:

198500.00 - 268500.00 USD / Year

10x Genomics

Expiration Date

Until further notice

Requirements

Master’s degree in a quantitative discipline such as Statistics, Engineering, Mathematics, Computer Science, Data Science, or an MBA with a technical focus
7+ years of experience using analytics to solve complex business problems, including coding (Python or R), querying databases (SQL), and statistical analysis
Production ML Experience: Proven track record of deploying machine learning models into production environments to solve commercial or operational challenges
Technical Mastery: Expert-level proficiency in writing complex, efficient SQL and using Python/R for data manipulation and predictive modeling
Commercial Acumen: Profound experience with sales processes and tools, specifically Salesforce CRM, sales quota/territory assignment, and the B2B enterprise SaaS demand generation funnel
Data Visualization: Advanced knowledge of data visualization tools like Tableau or Power BI to synthesize data into actionable executive dashboards
Stakeholder Management: Exceptional communication and interpersonal skills, with the ability to lead through ambiguity and influence cross-functional teams

Job Responsibility

Rebuild our sales forecasting model from a rules-based spreadsheet system to a production ML pipeline
Redesign our territory performance framework to better account for market heterogeneity across academic vs. pharma accounts
Develop early-warning signal models that surface churn risk, stalled accounts, and expansion opportunities before they become visible to the field
Own end-to-end development of ML-based sales forecasting models from feature engineering in Snowflake to deployment and monitoring in our AWS environment
Build pipeline health and churn risk models that give our VP of Sales a forward-looking view
Define model evaluation frameworks and own ongoing performance monitoring
Design specific performance frameworks for distributor-led markets (APAC/EMEA)
Conduct deep-dive analyses on quota attainment, territory performance, and account penetration
Conduct deep customer analyses that map account health, buying patterns, and product adoption across segments
Act as the commercial 'voice of the data' to our Product and Software Engineering teams

What we offer

equity grants
comprehensive health and retirement benefit programs
annual bonus program or sales incentive program
Health Package
Easy-to-use Benefits
Family oriented
Generous Time Off
Award-Winning Workplace

Fulltime

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Data Analyst (Commercial Data & Analytics)

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