• Collaborates with business to clarify data logic needed for reporting, increasing data accuracy, and fostering data-driven decision-making across the organization
• Writes unit/integration tests to validate reporting logic and document work
• Performs data and reporting analysis required to troubleshoot and resolve reporting-related issues
• Works closely with a team of engineers and product managers
• Proficiency in business intelligence tooling, data analytics and data modeling or willingness to learn
• Programmers who have hands-on experience with Python3, Including Pandas, REST API and Database is strongly desired
• Learn about both operational and non-operational day-to-day activities across a global application and infrastructure support organization that directly enables the needs of the Institutional Clients Group
• Develop and gain an understanding of full data lifecycle by partnering with engineering function
• Develop and gain an advanced understanding of reporting business needs, data & flows
• Advance and establish measures, processes and systems around reporting

Skills: Data Analysis, Business Intelligence Tools, Data Modeling, Python Programming, REST API Integration, Collaboration, Testing and Validation, Data Lifecycle Understanding

• Responsible for the planning, design, implementation and promotion of the company’s data products, improving the overall data service business efficiency, as well as the data-driven business in several key scenarios
• Independently undertake a series of work such as product design, promotion, implementation and launch, at the same time manage the product data analysis
• Build data services and early warning systems based on indicators and data marts, empower products and operations as well as form data empowerment solutions.
• Partner with PS teams to provide ad hoc analysis from data storage platforms
• Develop dashboards through business intelligence tools for analysis and providing insight to teams
• Review the use of data in the organization both online and manual
• Maintain the product database including new item set-ups, description maintenance, sell price, COGS, and ongoing database audits, to ensure a professional presentation is maintained
• Ensure that any price changes of products are updated in relevant ERP systems to ensure that sell prices and costs are up to date on Product Manager instruction and approval
• Develop and maintain master install database, provide reports and insights to Marketing and Commercial organization
• Provide support and reporting to the marketing organization
• Collaborate with commercial operations in the implementation of CPQ tool in Salesforce CRM for BEA products

Skills: Product Design, Data Analysis, Data Services Development, Ad Hoc Analysis, Dashboard Development, Data Maintenance, ERP Management, Collaboration

• Identify and build data sources, extract and transform data, build visualizations and generate actionable insights for the Verification squad
• Define and refine the overall KPIs and metrics that help us control the verification of new SumUp merchants
• Will be proactive in identifying areas of improvement in verification processes by exploring KYC data and proposing product experiments
• Provide insights in a consumer-friendly way and establish a data culture in the team that is about self-service analytics, measuring what matters and acting upon the data
• Will be a liaison between the Verification squad and other internal teams interested in KYC data
• Formulate analytical data requirements for data warehousing team
• Understanding and improving the measurement of the success of automated verification and onboarding activities
• Work closely with product and leadership teams to answer questions on user behavior and the results of product tests.
• Create reports and dashboards to grow visibility to product metrics.
• Catalog and understand the schema of available product data across a variety of sources

Skills: Data Source Identification, Data Extraction, KPI Definition, Process Improvement, Insight Presentation, Cross-Team Liaison, Data Requirements, Reporting

• Work with the product and marketing teams to fill gaps and improve data access.
• Monitor key metrics for trends, changes, and unexpected behavior.
• Inform product strategy through analysis of user data and experimentation
• Use analytics toolkit to explore customer data and usage patterns
• Partner with Product Managers and engineering teams to unpack and analyze product data, generating insights on how users are interacting with products
• Collaborate with product leaders to provide data-informed viewpoints on strategic decisions, identify high-impact opportunities for analysis and align priorities with the company strategy and product roadmap
• Understand, explain and predict customer behaviors. (e.g. mapping customer learning journeys and how we can improve them
• Identifying which users are likely to churn, and figuring out drivers for user engagement). 
• Work with product teams and other business stakeholders to take action.
• Collect and exploit behavioral data to provide actionable insights to the Product Team and contribute to building the best possible user experience in products!
• Set up and run app-specific A/B tests to drive KPI improvements and help decision-making.

Skills: Data Access Improvement, Metric Monitoring, User Data Analysis, Customer Data Exploration, Product Data Insights, Data-Informed Decision Making, Customer Behavior Prediction, A/B Testing

• Define with PMs and squad the main KPIs to follow and improve
• Build dashboards (Tableau, DataStudio, Google Analytics…) to be able to report and analyze OKRs progression
• Build dashboards to analyze the impacts of specific evolutions on the platform
• Monitor and investigate users behavioral trends and fuel the product team with key insights
• Provides key data to PMs and Product designers during the Discovery phases. 
• Detect issues and identify root cause
• Automate reports in Tableau and Data Studio about the product's key data points and indicators
• Make exploratory analysis on different data sets and tools (Google Analytics, hot jar, Amplitude, Salesforce) to better understand customers and improve OKRs
• Conduct workshops with the PMs, Product designers and tech to identify new pain points
• Understand the global data architecture in coordination with the engineering and product teams and contribute to its setup and optimization
• Run and improve the ETL in collaboration with the data analysts and data engineers
• Contribute to restructuring data from Salesforce.

Skills: KPI Definition, Dashboard Creation, Impact Analysis, User Behavior Monitoring, Data Support for Discovery, Root Cause Analysis, Report Automation, Exploratory Data Analysis

• Extract product insights from large arrays of data from multiple sources to inform product roadmaps and strategic decisions
• Work with product managers to define product metrics, analytics events, and success targets 
• Analyze the results of product experiments
• Provide day-to-day product analytics support for product, sales, marketing, and operations teams
• Create engaging presentations based on data
• Work closely with data engineers and the Product Team in order to bring high-added value to products and businesses for the long term.
• Shape, analyze, and tell a story leveraging data from varying sources to provide insights into how gamers are engaging in the Xbox ecosystem, and uncover new patterns to improve gamer experiences.
• Partner with Product Management, Design, and Engineering teams to discover and craft metrics to measure success and use of ecosystem 
• Use and promote data-exploration techniques to discover new or previously unasked questions
• Work with partner data teams to operationalize metrics, and drive analytics automation and enhance BI capabilities (dashboarding/insight retrieval)

Skills: Data Extraction, Metric Definition, Experiment Analysis, Product Analytics Support, Data Presentation, Collaboration with Data Engineers, Data Storytelling, Metrics Operationalization

• Hands-on product analytics experience with exposure to agile/scrum processes, product backlog grooming, etc.
• Hands-on in-product analytics experience with one of these tools- Pendo, Amplitude, or Adobe Analytics (Pendo preferred)
• Experience analyzing in-product data including analyses such as customer journey mapping, audience profiling/segmentation, cohort/mix analysis
• Hands-on data mining experience with one of these tools- SQL (traditional or PL), Hive/Hue, Python or SAS
• Exposure to ETL and data management tools like Alteryx, Informatica
• Experience in going beyond reports/data- driving product management using insights and hypothesis testing
• Hands-on product analytics experience with exposure to agile/scrum process, product backlog grooming, etc.,
• Hands-on in-product analytics experience with one of these tools- Pendo, Amplitude, or Adobe Analytics (Pendo preferred)
• Experience analyzing in-product data including analyses such as customer journey mapping, audience profiling/segmentation, cohort/mix analysis
• Hands-on data mining experience with one of these tools- SQL (traditional or PL), Hive/Hue, Python, or SAS

Qualifications: BA in Business Analytics with 5 years of Experience

• Experience with data and analytics in business strategy,
• marketing, finance, engineering or science
• Experience with SQL (Oracle, Vertica, Hive, MySQL, etc)
• Experience with a Scripting language for data analysis
• Experience with statistical analysis. 
• Experience with MATLAB, SPSS, SAS, Stata, etc
• Ability to communicate technical concepts to non-experts Detail-oriented execution style, exceptional problem solver, self-directed, quick learner
• Experience as a Web/Data Analyst.
• Knowledge of Python
• Ability to collaborate with technical and non-technical teams.
• Excellent interpersonal and communication skills.

Qualifications: BS in Data Science with 3 years of Experience

• Advanced SQL skills
• Good knowledge of Python/R and the associated data analysis ecosystem of libraries
• Experience performing analysis on, manipulating, and drawing insights from large datasets programmatically
• Strong Data visualization and presentation skills (matplotlib/ggplot/d3.js)
• Experience building internal web dashboards
• Able to explore data, make inferences, and present these with assumptions to non-technical audiences
• Familiarity with common reporting metrics such as retention and LTV.
• Understanding of data visualization and presentation principles, being confident in presenting to individuals of all levels throughout the company.
• Ability to thrive in an unstructured, fast-moving, and constantly evolving environment.
• Experience with E-commerce 
• Experience in going beyond reports/data- driving product management using insights and hypothesis testing
• Understanding of various concepts such as agile/scrum, A/B or multivariate testing, tag management, journey mapping, and segmentation
• Experience with Legal subscription products 

Qualifications: BA in Information Systems with 4 years of Experience

• Experience working with Data Visualization/Business Intelligence software tools is a plus (ie: Spotfire, Tableau, PowerBI,SQL/Snowflake)
• Ability to work in a collaborative cross-functional team environment
• Strong relationship-building skills.
• Experience doing quantitative analysis.
• Experience with product optimization work focused on user retention (e.g. funnel optimization), user acquisition.
• Experience with product optimization or growth best practices.
• Comfortable using SQL to explore large datasets.
• Experiences in tracking & analytic/data tools like GA, GTM, Tableau, Superset, Google BigQuery, Google Data Studio
• Experience in scripting with SQL, extracting large sets of data, and design of ETL flows is a plus.
• Excellent communication capabilities with a focus on clearly articulating recommendations to a range of stakeholders.
• Strong verbal and written communication skills with demonstrated experience engaging and influencing senior product managers and leaders.
• Ability to manage a cross-functional process for prioritizing, delivering and launching new features

Qualifications: BS in Economics with 3 years of Experience

• Experience with working within Product Master Data Management
• Experience working with Informatica PIM 360, SAP, eDAM
• Experience demonstrating an understanding of PIM, Product Categorization, Display Taxonomy, Data Stewardship, Data Quality, Metadata Management, Data Architecture, data modeling, data warehousing, business intelligence, Master and Reference Data, Data Security, and Data Integration
• Experience with ERP and Database Management Systems (SAP, Oracle)
• Experience with Informatica PIM P360, Informatica PowerCenter, Adobe eDAM, AEM,
• Excellent communication, presentation, problem-solving, and interpersonal communication skills.
• Analytical mindset and organizational skills.
• Excellent communication skills, including verbal, written, presentation and negotiation
• Proficient in MS Office (Excel, Word, PPT, Visio, Sharepoint, Teams).

Qualifications: BA in Statistics with 4 years of Experience

• Ability to conduct Quantitative data analysis and demonstrate critical-thinking skills
• Ability to conduct Qualitative business process analysis and demonstrate keen eye for gaps in relevant data
• Ability to participate in user discovery sessions with stakeholders.
• Understand the needs and priorities of domain-specific analytics leads while working with technology leads, business process owners, and source system owners to understand what is required to deliver the right analytic inputs
• Ability to deliver use case assessments and consult Product & Analytic teams on the “best” approach
• Experience in going through a full product lifecycle, integrating customer feedback into product requirements, enabling prioritization and pre/post-launch execution.
• Ability to work directly with an agile engineering team to participate in sprints, grooming, and other agile ceremonies
• Ability to Identify requirements, design features and groom user stories
• Experience breaking down features into workable user stories
• Effectively Translate the analytic & product needs priorities to developers
• Experience with feature delivery and tradeoffs of a product
• Experience driving projects with cross-functional colleagues

Qualifications: BS in Computer Science with 5 years of Experience