Business Analytics Consultant

EPAM Systems; Turkey; Vor Ort; TRY 2.970.000 - 4.950.000; Vollzeit

Zusammenfassung

EPAM Systems is seeking a Business Analytics Consultant to join our Data Practice. You will design, develop and deliver data products for industries including financial services, retail and energy, translating business needs into actionable product requirements.

You’ll lead data product workstreams through discovery to production, work with clients and delivery teams, and apply your technical expertise to ensure measurable business impact.

Aufgaben

• Lead data product workstreams from discovery through development, deployment and adoption.
• Work with clients to understand industry processes and define outcomes for data products.
• Translate business needs into product requirements and delivery plans.

Jobbeschreibung

Do you enjoy taking a data product from an idea to something people use and rely on? Can you connect an industry challenge with the right architecture, technologies and delivery approach—and stay involved until the solution is working in practice? If you bring hands-on delivery experience and the confidence to work directly with clients, we’d like to meet you.We are looking for a Business Analytics Consultant to join our Data Practice and design, develop and deliver data products for organizations across sectors such as financial services, retail, life sciences and energy. You may bring deep experience in one industry or have delivered solutions across several. What matters most is your ability to understand how a business works, identify where data can create value and turn that opportunity into a usable product. You will work with stakeholders and delivery teams throughout the product lifecycle: from discovery and solution design through development, deployment and adoption. You’ll draw on your technical experience to choose approaches that fit the problem, whether they involve AI, cloud platforms, large-scale data processing or other technologies. You’ll also help clients understand the trade-offs behind those choices and measure the outcomes they achieve.ResponsibilitiesLead data product workstreams from discovery and solution design through development, deployment and adoptionWork with clients to understand industry-specific processes, challenges and opportunities, and define the business outcomes a data product should achieveTranslate business needs into product requirements, technical designs and delivery plans that teams can put into practiceContribute hands-on to the development of data products, applying your technical expertise while working with specialists from other disciplinesEvaluate architectures, tools and technologies—including AI, cloud platforms and large-scale data processing where appropriate—and make informed trade-offs based on value, feasibility, performance and costGuide products from prototype to production, addressing considerations such as data quality, security, reliability, monitoring and maintainabilityLead workshops and technical discussions with business and technology stakeholders, explaining solution choices and aligning teams around delivery prioritiesMeasure product performance, adoption and business impact, and use what you learn to improve the solution after launchRequirements7-10+ years of hands-on experience developing and delivering data products or data-intensive software solutionsA track record of taking products beyond prototypes into production, including deployment, monitoring and improvement after launchStrong technical expertise in at least one relevant discipline, with the ability to contribute directly to solution design and developmentExperience designing architectures and making practical trade-offs around scalability, reliability, security, performance and costExperience working with data across the product lifecycle, from acquisition and processing to making it useful in an application, service or decision-making processUnderstanding of how technologies such as AI, cloud platforms and large-scale data processing can support data products, and the judgment to choose an approach suited to the problemExperience translating business needs into product requirements and working with others to deliver against themKnowledge of the business processes and metrics in at least one industry, and the ability to apply that knowledge to product decisionsAbility to lead discussions with business and technical stakeholders, explain technical trade-offs clearly and guide a workstream through deliveryStrong communication skills in EnglishNice to haveDeep experience in a business industry—such as financial services, retail, life sciences, energy or another sector—and a record of delivering data products that address its specific processes and challengesExperience delivering data products across multiple industries and adapting solutions to different business contextsDepth in more than one technical discipline, such as software engineering, analytics, data engineering, machine learning or product architectureExperience modernizing existing data platforms or bringing experimental solutions into productionExperience delivering products in regulated environments, where data privacy, security and governance shape technical decisionsExperience using product feedback and usage data to improve a solution after launchExperience mentoring engineers or other technical specialists and helping teams adopt effective delivery practicesExperience bringing AI-enabled products into everyday use, including integration with existing workflows, user adoption and measuring their impact after launchWe 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.