Lead BI Analyst

EPAM SYSTEMS TURKEY YAZILIM GELİŞTİRME LİMİTED ŞİRKETİ

Are you ready to elevate your leadership capabilities and apply your deep analytical expertise to complex, high-impact challenges? Leverage your expert-level BI and Business Analysis knowledge to lead and shape international projects across a variety of business domains: oil & gas, finance, retail and distribution, e-commerce, life sciences & healthcare, and more. We're in search of an experienced Lead BI Analyst to strengthen our team of professionals who steer data-driven digital transformation. If you're passionate about leading BI analysis initiatives, mentoring analysts, driving strategic data decisions, and establishing best practices across projects, then this role is for you.

In this role, you will own and orchestrate the planning and execution of elicitation and analysis activities across multiple workstreams, collaborating closely with senior business and IT stakeholders. You will mentor and guide team members, set quality standards for deliverables, and act as the primary point of accountability for all BI analysis outcomes — ensuring clarity, accuracy, reliability, and strategic alignment.

Responsibilities

• Lead and oversee the design, development, and maintenance of dashboards, interactive charts, and reports — establishing visualization standards and best practices across projects.
• Drive end-to-end data migration and modernization initiatives in collaboration with the development team, including oversight of ETL processes, data extraction, transformation, and loading.
• Facilitate and lead meetings, workshops, and discovery sessions with clients and senior stakeholders to define, prioritize, and align business needs with strategic objectives.
• Translate complex business requirements into actionable insights and strategic recommendations, fostering seamless collaboration with the delivery team throughout the project lifecycle.
• Oversee data discovery, data assessment, and data profiling activities, leveraging advanced SQL queries and guiding team members in execution.
• Define and maintain source-to-target mappings, data models, data flows, and related requirements documentation — ensuring consistency and quality standards across deliverables.
• Own the definition, organization, and prioritization of backlogs with epics, features, and stories, aligning them with project goals and stakeholder expectations.
• Drive and facilitate Agile ceremonies (Sprint Reviews, Daily Stand-Ups, Planning, Refinements, Retrospectives), ensuring team alignment and continuous improvement.
• Lead User Acceptance Testing efforts with customer stakeholders, coordinating feedback cycles and sign-off processes.
• Establish standards for high-quality post-development and post-production materials and ensure their consistent delivery.
• Monitor and ensure the quality and reliability of all team deliverables, providing guidance, feedback, and mentorship to junior and mid-level analysts.
• Mentor and develop BI Analysts within the team, conducting knowledge-sharing sessions and driving professional growth.
• Contribute to pre-sales activities, including effort estimation, proposal preparation, and client presentations.
• Identify risks, dependencies, and bottlenecks proactively, escalating and resolving issues to ensure smooth project delivery.

Requirements

• 7+ years of experience in data-related projects (e.g., data migration, data transformation, data governance, BI, AI, etc.).
• 5+ years of expertise in handling BI, DWH, Data and Analytical project requirements (gathering, documenting, presenting, estimating, prioritizing, etc.).
• 2+ years of experience in a lead or senior advisory role, mentoring analysts and owning delivery quality.
• Proven track record in end-to-end data and analytics project delivery using Agile and Waterfall methodologies, with experience managing multiple workstreams simultaneously.
• Extensive experience working with large datasets and performing advanced data profiling using SQL queries.
• Strong understanding of DWH fundamentals, Data Modeling, Data Quality, and data architecture principles.
• Proficiency in preparing and reviewing source-to-target mappings for data ingestion, curation, and related processes.
• Hands-on experience with BI tools (Power BI, Tableau, etc.) for data transformation, modeling, and visualization, with the ability to set standards and guide others.
• Excellent written and verbal communication skills with the ability to engage and influence senior stakeholders and C-level executives.
• Ability to produce and enforce high-quality documentation, reports, and presentation standards.
• Strong leadership mindset — self-motivated, proactive, and able to lead client interactions, resolve conflicts, and drive decisions with minimal supervision.
• English proficiency at B2+ level or higher.

Nice to have

• Experience with data on cloud platforms like Azure, AWS, and GCP.
• Ability to create prototypes, mock-ups, and proof-of-concept solutions.
• Familiarity with Data Governance frameworks and their practical implementation.
• Experience collaborating with data scientists and defining requirements for AI/ML-focused features.
• Familiarity with AI tools for BI analysis, information elicitation, documentation, agile workflows, and data analysis.
• Industry knowledge in oil and gas, finance, insurance, supply chain, or marketing.
• Experience acting as a Data Product Owner in analytical projects.
• Experience in pre-sales, effort estimation, and shaping project proposals.
• Ability to deliver innovative solutions to industry leaders, making a global impact.
• Relevant certifications (e.g., CBAP, CCBA, PMI-PBA, Microsoft/Tableau certifications).

Yan Haklar:

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
• Diversity of tasks and projects
• Assessment center for objective review of competency level
• Personal development plan
• Mentoring programs and leadership development
• Certification and professional development support
• Access to learning platforms including more than 2,500 internal courses
• English courses taught by certified teachers

CORPORATE BENEFITS

• Extra leave days
• Referral bonuses

COMPENSATION PACKAGE

• Competitive compensation paid in USD
• Regular salary and performance reviews

MEDICAL & HEALTHCARE

• Private health insurance
• Well-being events

WORKING ENVIRONMENT

• Recreation areas and kitchens
• Tea, coffee and snacks
• Sports equipment and game consoles
• IT Equipment
• Microsoft’s Software Assurance Home Use Program (HUP)

Please note that our Talent Attraction Team reviews applications and CVs submitted in English.

Beceriler: BI Analysis