Lead BI Analyst

EPAM Systems, Inc.; Turkey; On-site; TRY 5,897,000 - 8,845,000; Full time

Benefits offered by this job

Extra leave days

Referral bonuses

Private health insurance

Well-being events

Job summary

EPAM Systems, Inc. seeks an experienced Lead BI Analyst to steer cross-functional BI analytics initiatives across multiple domains.

You will own end-to-end analysis, mentor analysts, and define standards for dashboards, data models, and data quality while guiding delivery across Agile teams. You will collaborate with senior stakeholders, translate complex requirements into actionable insights, and drive pre-sales efforts with estimates and proposals.

Qualifications

• 7+ years of experience in data-related projects.
• 5+ years of BI, DWH, and analytics project work.
• 2+ years in a lead or senior advisory role mentoring analysts.
• Proven track record delivering end-to-end data and analytics with Agile/Waterfall.

Responsibilities

• Lead the design, development, and maintenance of dashboards and reports.
• Oversee data migration, ETL, and data modernization initiatives.
• Facilitate workshops with senior stakeholders to align needs with strategy.
• Translate requirements into insights and strategic recommendations.
• Define data models, source-to-target mappings, and data quality standards.
• Own backlog with epics/features/stories and prioritize delivery.
• Drive Agile ceremonies and coordinate UAT with customers.
• Mentor BI Analysts and contribute to pre-sales and proposals.

Skills

Leadership

Stakeholder management

SQL

Data modeling

Data governance

Agile methodologies

Data quality

Communication

Tools

Power BI

Tableau

Azure

AWS

GCP

Job description

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.ResponsibilitiesLead and oversee the design, development, and maintenance of dashboards, interactive charts, and reports — establishing visualization standards and best practices across projectsDrive end-to-end data migration and modernization initiatives in collaboration with the development team, including oversight of ETL processes, data extraction, transformation, and loadingFacilitate and lead meetings, workshops, and discovery sessions with clients and senior stakeholders to define, prioritize, and align business needs with strategic objectivesTranslate complex business requirements into actionable insights and strategic recommendations, fostering seamless collaboration with the delivery team throughout the project lifecycleOversee data discovery, data assessment, and data profiling activities, leveraging advanced SQL queries and guiding team members in executionDefine and maintain source-to-target mappings, data models, data flows, and related requirements documentation — ensuring consistency and quality standards across deliverablesOwn the definition, organization, and prioritization of backlogs with epics, features, and stories, aligning them with project goals and stakeholder expectationsDrive and facilitate Agile ceremonies (Sprint Reviews, Daily Stand-Ups, Planning, Refinements, Retrospectives), ensuring team alignment and continuous improvementLead User Acceptance Testing efforts with customer stakeholders, coordinating feedback cycles and sign-off processesEstablish standards for high-quality post-development and post-production materials and ensure their consistent deliveryMonitor and ensure the quality and reliability of all team deliverables, providing guidance, feedback, and mentorship to junior and mid-level analystsMentor and develop BI Analysts within the team, conducting knowledge-sharing sessions and driving professional growthContribute to pre-sales activities, including effort estimation, proposal preparation, and client presentationsIdentify risks, dependencies, and bottlenecks proactively, escalating and resolving issues to ensure smooth project deliveryRequirements7+ 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 qualityProven track record in end-to-end data and analytics project delivery using Agile and Waterfall methodologies, with experience managing multiple workstreams simultaneouslyExtensive experience working with large datasets and performing advanced data profiling using SQL queriesStrong understanding of DWH fundamentals, Data Modeling, Data Quality, and data architecture principlesProficiency in preparing and reviewing source-to-target mappings for data ingestion, curation, and related processesHands-on experience with BI tools (Power BI, Tableau, etc.) for data transformation, modeling, and visualization, with the ability to set standards and guide othersExcellent written and verbal communication skills with the ability to engage and influence senior stakeholders and C-level executivesAbility to produce and enforce high-quality documentation, reports, and presentation standardsStrong leadership mindset — self-motivated, proactive, and able to lead client interactions, resolve conflicts, and drive decisions with minimal supervisionEnglish proficiency at B2+ level or higherNice to haveExperience with data on cloud platforms like Azure, AWS, and GCPAbility to create prototypes, mock-ups, and proof-of-concept solutionsFamiliarity with Data Governance frameworks and their practical implementationExperience collaborating with data scientists and defining requirements for AI/ML-focused featuresFamiliarity with AI tools for BI analysis, information elicitation, documentation, agile workflows, and data analysisIndustry knowledge in oil and gas, finance, insurance, supply chain, or marketingExperience acting as a Data Product Owner in analytical projectsExperience in pre-sales, effort estimation, and shaping project proposalsAbility to deliver innovative solutions to industry leaders, making a global impactRelevant certifications (e.g., CBAP, CCBA, PMI-PBA, Microsoft/Tableau certifications)We offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.