Data Analytics Technology Consultant
il y a 1 semaine
EPAM is seeking a seasoned Data Analytics Technology Consultant to join our award-winning Data and Analytics Practice in Paris. As a key member of our team, you will be responsible for designing, developing, and implementing interactive data visualizations and analytics solutions using Power BI.
Key Responsibilities:- Lead and deploy the Business Intelligence strategy
- Develop, design, and maintain interactive Power BI dashboards and reports
- Translate business requirements into data models, reports, and visuals using Power BI
- Customize and optimize Power BI reports for performance and usability
- Create and manage complex DAX queries, measures, and calculations
- Help clients get more out of their existing Data and Analytics projects, identifying solutions and services based on their needs, constraints, and strategies
- Act as a Data Technology Consultant and/or Data Solution Architect, working with delivery teams in various-sized complex programs
- Help drive technology consulting, architecture engagements, and transformation through execution phases and work closely with internal, client, and third-party vendor mixed teams
- Work closely with project/program management to ensure successful delivery through an integrated delivery model
- Support sales/pre-sales activities by accessing Data opportunities, responding to RFPs, creating proposals and presentations, establishing relationships with prospective clients, and helping to close deals
- A Bachelor's/Master's degree in Computer Science or similar or relevant work experience
- Fluent in English
- Strong experience in a hands-on Senior Data Technical Consultant, Data Solution Architect, or Head of Data Analytics role
- Extensive experience developing and growing client relationships and leading technical Data & Analytics teams delivering end-to-end solutions of different sizes and maturity
- Experience with other Business Intelligence tools (e.g., Tableau, Qlik), as well as Big Data, Hadoop, Spark, Kafka, BI, Data Warehousing, Data Science, Data Management, Data Storage, Data Visualization
- Knowledge of cloud data platforms such as Azure, AWS, or Google Cloud
- Familiarity with R or Python for advanced data analysis
- Experience with Row-Level Security (RLS) in Power BI
- Solid experience in continuous delivery tools and technologies
- Pre-sales experience while executing and leading on rapid conceptual designs, proof-of-concepts, and client presentations
- 25 days of paid leaves per year + reduction of the working time (RTT days, depending on the year)
- Meal vouchers (11 euros, 51% paid by EPAM)
- EPAM Employee Stock Purchase Plan (ESPP)
- Private medical insurance (including dental and vision insurance)
- Pension fund
- Safety and life insurance
- Navigo (Ground transportation allowance) 50% reimbursed by EPAM
- Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions, and much more
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