business analyst

data analyst

data scientist

data engineer

product data analyst

data analytics developer

OLIMP

<p>OLIMP is revolutionizing freight transportation in the USA with a mission to move goods with unlimited capacity and zero losses. As an on-demand logistics solution, we are committed to serving our customers, generating new revenue for warehouses, and creating a more efficient and environmentally friendly supply chain. We are a fast-growing team looking for passionate individuals to help build the data foundation of our future.</p><p><b>Job Overview:</b></p><p>We are seeking a versatile and proactive Analytics Engineer to join our team. This critical role bridges data engineering and business analytics, responsible for transforming raw data into reliable, accessible insights. You will build and manage the data pipelines and models that power our analytics and then use that data to create the reports and dashboards that drive strategic decisions. The ideal candidate is a problem-solver who is comfortable in both the technical details of data infrastructure (Salesforce, AWS, PostgreSQL, Terraform) and the business application of data analysis.</p><p><b>Key Responsibilities:</b></p><p><b>Data Modeling &amp; Engineering:</b></p><ul><li>Design, build, and maintain scalable and reliable ELT data pipelines, moving data from sources like Salesforce into our PostgreSQL data warehouse.</li><li>Develop and manage curated data models, transforming raw source data into clean, analysis-ready datasets optimized for business intelligence.</li><li>Utilize Terraform to manage and provision our data infrastructure as code (IaC), ensuring our systems are consistent and repeatable.</li><li>Implement and oversee data quality checks and monitoring to ensure the accuracy and integrity of our data assets.</li></ul><p><b>Analytics &amp; Business Intelligence:</b></p><ul><li>Partner with sales, marketing, and operations teams to translate business questions into KPIs, metrics, and analytical projects.</li><li>Develop, own, and maintain key business dashboards and reports using our BI tools to track performance and provide actionable insights.</li><li>Conduct ad-hoc analysis to identify trends, patterns, and opportunities for improving business efficiency and effectiveness.</li><li>Communicate findings clearly and concisely to both technical and non-technical stakeholders.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s degree in a quantitative field like Computer Science, Engineering, Statistics, or a related discipline.</li><li>3+ years of experience in a data-focused role such as Analytics Engineer, Data Analyst, or BI Engineer.</li><li>Strong proficiency in SQL for complex querying, data manipulation, and modeling.</li><li>Hands-on experience building reports and dashboards in a BI tool (e.g., Tableau, Looker, Power BI, Metabase).</li><li>Proven experience building or maintaining data pipelines (ETL/ELT processes).</li><li>Experience working with data from CRMs like Salesforce.</li><li>Strong analytical and problem-solving skills with high attention to detail.</li><li>English language proficiency.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience with cloud data services on AWS (S3, Glue, Lambda).</li><li>Experience with infrastructure-as-code tools like Terraform.</li><li>Proficiency in a scripting language, preferably Python, for data analysis or automation.</li><li>Salesforce certifications or deep knowledge of the Salesforce data model.</li></ul><p><b>Please read the job description carefully and send your resume in English.</b></p><p>Job Type: Full-time</p><p>Pay: 30,000.00TRY - 37,000.00TRY per month</p>

Analytics Engineer - REMOTE

Sanipak

<div>
 <p>
  Sanipak has more than 1600 employees. We export our leading brands such as OK, Solo, Selpak, UniBaby, and our most preferred brands in the cleaning papers, personal care, home care, baby care, and out-of-home categories to more than 80 countries in 5 continents, while investing heavily in digital transformation and data-driven decision-making. To support our growing initiatives in self-service BI, self-service analytics, and advanced analytics, we are expanding our Data &amp; Analytics team with a hands-on, technically skilled
  <strong>
   Data &amp; Analytics Engineer.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What do we expect from our new team member?
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Design, develop, and manage data pipelines and ETL processes
   </strong>
   on platforms (i.e. SSIS, SQL Server, Azure Data Factory/Fabric) to feed our Enterprise Data Warehouse (EDW).
  </li>
  <li>
   <strong>
    Integrate diverse data sources
   </strong>
   (i.e. enterprise sources like SAP, SAP BW, SQL Server, IoT systems and business sources like market data, 3rd-party APIs) to deliver analytics-ready datasets.
  </li>
  <li>
   <strong>
    Build and maintain scalable data systems, data models and data products
   </strong>
   that power enterprise reporting systems and self-service analytics across business teams
   <em>
    (note: dashboard/report creation is not part of this role)
   </em>
   .
  </li>
  <li>
   <strong>
    Own and manage data governance processes
   </strong>
   including metadata management, data lineage, report lineage, data quality, and data cataloging (with tools like Informatica).
  </li>
  <li>
   <strong>
    Own and manage integration and API catalog
   </strong>
  </li>
  <li>
   <strong>
    Optimize large-scale datasets
   </strong>
   to ensure query efficiency and scalability.
  </li>
  <li>
   Collaborate with
   <strong>
    cross-functional teams
   </strong>
   (data scientists, analysts, and business stakeholders) to design data structures that support business KPIs and reporting.
  </li>
  <li>
   Contribute to the
   <strong>
    design and deployment of scalable data architecture
   </strong>
   in Azure Fabric and EDW environments, ensuring future-proof solutions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What kind of teammate are we looking for?
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in
   <strong>
    Computer Science, Software Engineering, Information Technology
   </strong>
   , or a related field.
  </li>
  <li>
   <strong>
    4+ years of experience
   </strong>
   in data engineering or data architecture roles.
  </li>
  <li>
   <strong>
    Advanced SQL skills
   </strong>
   for data transformation and performance optimization.
  </li>
  <li>
   Strong hands-on expertise with
   <strong>
    SSIS and SQL Server
   </strong>
   for ETL and data pipeline development.
  </li>
  <li>
   Experience or willingness to advance in
   <strong>
    Azure Data Factory/Fabric
   </strong>
   .
  </li>
  <li>
   <strong>
    Proficiency in Python
   </strong>
   (basic to intermediate, for automation and data processing).
  </li>
  <li>
   Familiarity with
   <strong>
    metadata, data lineage, and cataloging tools
   </strong>
   (e.g., Informatica).
  </li>
  <li>
   Experience in optimizing
   <strong>
    large-scale SQL Server environments
   </strong>
   (indexing, partitioning, query tuning).
  </li>
  <li>
   Understanding of
   <strong>
    ETL/ELT best practices, data modeling, governance, and security
   </strong>
   .
  </li>
  <li>
   Ability to
   <strong>
    work with and guide external consultants
   </strong>
   while ensuring best practices and process sustainability.
  </li>
  <li>
   Curious, self-driven, with
   <strong>
    strong analytical and communication skills
   </strong>
   .
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What do we offer you?
  </strong>
 </p>
 <ul>
  <li>
   A chance to
   <strong>
    build and own the company&rsquo;s data backbone
   </strong>
   , shaping governance and architecture standards.
  </li>
  <li>
   Exposure to
   <strong>
    cutting-edge platforms
   </strong>
   (Azure Fabric, IoT, diverse external data sources).
  </li>
  <li>
   <strong>
    Career growth opportunities
   </strong>
   with training and certification support (e.g., Azure Data Engineer).
  </li>
  <li>
   Opportunities to
   <strong>
    lead and mentor external or junior resources
   </strong>
   while staying hands-on in development.
  </li>
  <li>
   A
   <strong>
    dynamic, transformation-driven environment
   </strong>
   , working on projects with impact across the business.
  </li>
  <li>
   At Eczac&inodot;ba&scedil;&inodot;, you can steadily improve your personal, professional, and technical competencies by participating in
   <strong>
    training programs
   </strong>
   that support you and your career.
  </li>
  <li>
   You will have access to opportunities for
   <strong>
    rotation
   </strong>
   among more than 50 companies and
   <strong>
    global experience
   </strong>
   in over 120 international markets.
  </li>
  <li>
   <strong>
    Vacation time
   </strong>
   at Eczac&inodot;ba&scedil;&inodot; is calculated according to seniority based on your total work experience. Your bring your seniority with you.
  </li>
  <li>
   We will always recognize your success through different
   <strong>
    reward
   </strong>
   methods.
  </li>
  <li>
   You can take advantage of location-independent or hybrid work opportunities through
   <strong>
    different work models
   </strong>
   suitable to the nature of your job, and you can determine your own work schedule with
   <strong>
    flexible work hours
   </strong>
   . We offer technology and ergonomic support packages to Eczac&inodot;ba&scedil;&inodot; employees who work remotely full-time.
  </li>
  <li>
   As a new parent working at Eczac&inodot;ba&scedil;&inodot;, you are privileged. Eczac&inodot;ba&scedil;&inodot; employees who are mothers are provided with monthly
   <strong>
    nursery support
   </strong>
   ; Eczac&inodot;ba&scedil;&inodot; employees who are fathers are entitled to a
   <strong>
    3-week paternity leave
   </strong>
   .
  </li>
  <li>
   People who savor
   <strong>
    culture and art
   </strong>
   are here! Thanks to the Eczac&inodot;ba&scedil;&inodot; Group&rsquo;s founding sponsorship of
   <strong>
    Istanbul Modern
   </strong>
   , Turkey's first modern and contemporary art museum, you can visit the museum for free. Additionally, thanks to Eczac&inodot;ba&scedil;&inodot; Group&rsquo;s founding sponsorship of Istanbul Foundation for Culture and Arts (&Idot;KSV), you can also enjoy the privilege and discounts of &Idot;KSV&rsquo;s Lale Card to all &Idot;KSV events.
  </li>
  <li>
   You can participate in Eczac&inodot;ba&scedil;&inodot;&rsquo;s
   <strong>
    volunteering activities
   </strong>
   , every one of which prioritizes social benefit, and get involved in projects that create social impact.
  </li>
  <li>
   We are committed to ensuring
   <strong>
    equal opportunity
   </strong>
   of employment. We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status or seniority.
  </li>
  <li>
   <strong>
    #WeDoNotDifferentiateBetweenJobsForWomenAndMen
   </strong>
  </li>
 </ul>
 <p>
 </p>
</div>


Data & Analytics Engineer

Voodoo

<div><p><b>About Voodoo</b></p><p>
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.</p><p></p><p><b>
Team</b></p><p>
Our Gaming team is made up of hybrid-casual, casual, and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing, and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games.</p><p>
Joining our Live games team means collaborating with gaming industry experts on globally renowned, enduring games while embracing exciting new entrepreneurial ventures. With over seven billion downloads worldwide and a portfolio of more than 10 resilient hybrid games generating more than $20m per year, we are the world's largest and most successful hybrid publisher.</p><p>
You&rsquo;ll be part of our Tarboosh studio within the Live Games Division at Voodoo, where we are working on Collect 'Em Al! and Color Clash.</p><p></p><p><b>
Role</b></p><ul><li><p>
Act as a trusted advisor on all things data, establishing best practices for data collection, analysis, and reporting.</p></li><li><p>
Be a part of the analysis of large, complex datasets to understand player behavior and identify opportunities for growth in engagement, retention, and monetization.</p></li><li><p>
Translate data insights into clear recommendations to inform game design, feature development, and the overall product roadmap.</p></li><li><p>
Utilize A/B testing to evaluate and optimize game features and mechanics, driving measurable improvements in key performance indicators.</p></li><li><p>
Collaborate cross-functionally with game designers, product managers, and developers to ensure data-driven strategies are embedded throughout the game&rsquo;s lifecycle.</p></li><li><p>
Design, build, and maintain automated dashboards and reports, ensuring the entire team has access to critical metrics and insights.</p></li></ul><p><b>
Profile</b></p><ul><li><p>
At least 1 year of analytical work experience in the gaming, tech or a data-driven industry, with a proven track record working in close connection with product teams.</p></li><li><p>
Proficient with SQL and either R or Python, with a proven experience working with large and complex data sets.</p></li><li><p>
Good knowledge of statistical analysis and concepts used for industry-standard methods like AB testing or forecasting.</p></li><li><p>
Autonomous person with a strong analytical mind, problem-solving skills and strong attention to detail.</p></li><li><p>
Ability to understand a business problem, turn it into an analytics/statistics problem and solve it using adequate methods.</p></li><li><p>
Highly pragmatic mindset with the ability to quickly identify what needs to be focused on and what can be considered of lower priority.</p></li></ul><p><b>
Benefits</b></p><ul><li><p>
Best-in-class compensation</p></li><li><p>
Other benefits according to the country you reside</p></li></ul></div>

Data Analyst - Tarboosh Studio

Trendyol

<div><div><div><b>ABOUT THE TEAM</b></div><div></div><div><b><br>
Trendyol Pay</b> is where cutting-edge payment technology meets seamless user experience. This team designs and manages end-to-end payment solutions for millions of users across the globe. Trendyol Pay is focused on building secure, fast, and reliable payment infrastructure not just for today&rsquo;s needs, but for the future of digital commerce.</div><div></div><div><b><br>
Trendyol Finance</b> is not just about managing money it&rsquo;s about reshaping the future of financial experiences.</div><div>
We build inclusive and innovative financial products that empower millions of customers and sellers. From smart credit systems to AI-powered budgeting, our goal is to remove complexity from finance and make it more accessible, personal, and impactful.</div><div></div><div><br>
By blending technology with finance, we turn data into decisions helping individuals and businesses thrive.</div><div></div><div><br>
We are united by a shared purpose:To create a positive impact in our ecosystem by enabling commerce through technology.</div><div></div><div><br>
We simplify every transaction and elevate user confidence through technology-driven, customer-first design.</div><div></div><div><br>
We are all working with the same purpose: To create a positive impact in our ecosystem by enabling commerce through technology.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Design segmentation for many different business parties (customer, seller, influencer, cargo company etc. )</li><li>
Define business rules for each segment and set targets with business owners</li><li>
Create and optimize journeys for each segment and feature to meet the business kpis</li><li>
Work with the product team to improve any business process for onboarding or engagement of each segment</li><li>
Work with the business owners to design and execute growth opportunities for each segment</li><li>
Automate tracking and communication of any feature for any segment</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Expected Qualifications</b></h3><ul><li><ul><li>
Bachelor's or Master&rsquo;s Degree from a reputable university preferably in Computer Science, Management Information Systems or Industrial Engineering</li><li>
2+ years experience in data analysis, project &amp; product management</li><li>
Coding skills &ndash; ability to code in one or more languages (SQL, Python)</li><li>
Communication skills - Excited to work with different functions within company, creative problem solver who thrives with ambiguity</li><li>
Familiar with digital analytics visualization tools (Looker, Qlikview, Tableau etc.)</li><li>
Strong analytical skills and experience of working with large volumes of data</li><li>
Enjoys the challenge of simplifying complex data, processes, and concepts to highlight key insights and guide decision making</li><li>
A genuine interest in digital disciplines and stay up to date on trends</li><li>
Excellent written and verbal communication skills in English</li><li>
Good command of Gsuite or MS Office programs</li></ul></li></ul></div></div>
<div><div><b>What We Offer</b></div><div><b>
A hybrid working model with flexibility &mdash;</b> a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.</div><div><b>
A customizable FlexBenefits budget &mdash;</b> Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.</div><div><b>
Comprehensive wellbeing support &mdash; </b>Take advantage of our extended health package, which includes annual mini health screenings, access to location-based in-house doctors, psychologist and dietitian support, and HPV vaccination coverage.</div><div><b>
Personalized training allowance and learning opportunities &mdash;</b> Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.</div><div><b>
Responsibility from day one &mdash; </b>Take full ownership from the start in a culture where every voice is heard and valued.</div><div><b>
A diverse, international team &mdash; </b>Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.</div><div><b>
Opportunities to grow with the best &mdash;</b> Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.</div><div><b>
Meaningful connections beyond tasks &mdash;</b> Be part of team rituals, events, and social activities that help us stay connected and inspired.</div><div></div><div><b><br>
Take the Next Step</b></div><div>
If this role excites you, apply now and let&rsquo;s take the next step together.</div><div>
Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.</div></div></div>

Central Planning & Optimization Data Analytics Professionals

TEB Arf

<div>
 <p>
  <strong>
   Data Scientist &ndash; AI &amp; Data Science Team (TEB Arf, &Idot;stanbul &ndash; B&Uuml;DOTEK Teknopark)
  </strong>
 </p>
 <p>
  Join TEB Arf&rsquo;s innovative AI &amp; Data Science Team and help us redefine the future of banking! We&rsquo;re a dynamic group pushing the boundaries of artificial intelligence to develop cutting-edge solutions that deliver real impact. As a Data Scientist, you&rsquo;ll own the entire lifecycle of AI/ML solutions &ndash; from development and deployment to monitoring and continuous improvement &ndash; collaborating closely with business stakeholders to solve complex challenges.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Data Engineering &amp; Preparation:
   </strong>
   Extract, clean, transform, and validate data from diverse sources to create high-quality datasets for model development. Design and maintain scalable data pipelines using SQL and Python.
  </li>
  <li>
   <strong>
    Model Development &amp; Evaluation:
   </strong>
   Select, build, train, and rigorously evaluate machine learning models (regression, classification, clustering, time series) using libraries such as Scikit-learn, XGBoost, and TensorFlow/PyTorch. Employ techniques like cross-validation to ensure robust and generalizable results.
  </li>
  <li>
   <strong>
    Business Translation &amp; Impact:
   </strong>
   Collaborate with stakeholders to understand business needs and translate them into actionable analytical solutions. Design and execute experiments (A/B testing) to validate hypotheses and measure the impact of your work.
  </li>
  <li>
   <strong>
    Deployment &amp; Monitoring:
   </strong>
   Work with SDLC teams to deploy models into production, continuously monitor performance, and proactively address issues (model drift, data quality).
  </li>
  <li>
   <strong>
    Communication &amp; Documentation:
   </strong>
   Clearly communicate complex technical concepts to both technical and non-technical audiences. Maintain thorough documentation of all analytical processes and results.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Engineering, Electrical/Electronics Engineering, Industrial Engineering, Statistics, or Mathematics.
  </li>
  <li>
   5+ years of experience, with at least 3 years in a dedicated Data Science role.
  </li>
  <li>
   Expert proficiency in SQL and Python.
  </li>
  <li>
   Strong understanding of machine learning/deep learning concepts, algorithms, and a practical ability to apply them.
  </li>
  <li>
   Hands-on experience developing and deploying machine learning models and AI applications.
  </li>
  <li>
   Solid understanding of MLOps and LLMOps principles.
  </li>
  <li>
   Familiarity with CI/CD platforms and containerization (Docker, Kubernetes).
  </li>
  <li>
   Excellent English communication skills (verbal and written).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Bonus Points:
  </strong>
 </p>
 <ul>
  <li>
   Experience with Java or C++.
  </li>
  <li>
   Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures.
  </li>
  <li>
   Master&rsquo;s or PhD in a related field.
  </li>
  <li>
   Experience in the banking or financial services industry.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Scientist – AI & Data Science Team

Otobid

<div>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
 </p>
 <ul>
  <li>
   Collaborate with Product, Technical and Business teams to design and implement the necessary data structures to enable reporting of defined business KPIs.
  </li>
  <li>
   Employ a data-driven approach, ensuring that multiple data sources match in terms of quality and reporting is of a high standard
  </li>
  <li>
   Design, develop, and optimize complex ETL processes for a large-scale Data Warehouse using Vertica as the primary database platform.
  </li>
  <li>
   Ensure to data modeling and normalization principles to maintain data integrity and scalability of DWH environment.
  </li>
  <li>
   Build and automate DWH-ETL pipelines across the Data Warehouse on ETL-scheduling tool.
  </li>
  <li>
   Implement optimized query structures and table formats in order to enhance data querying efficiency and improve overall system performance.
  </li>
  <li>
   Build and enhance existing DWH models in order to enhance performance of queries triggered by BI Visualisation platform.
  </li>
  <li>
   Collaborate with DWH/BI analysts to understand reporting requirements across the business domains.
  </li>
  <li>
   Develop DWH pipelines regarding reporting requirements and system efficiency constraints.
  </li>
  <li>
   Collaborate with Data Architecture and infrastructure teams to optimize DWH pipelines deployment and monitoring on Vertica Analytics Platform.
  </li>
  <li>
   Support data analytics teams by providing optimized datasets and ensuring efficient ETL workflows.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <ul>
  <li>
   BSc degree in Computer Science, Mathematical Engineering, Statistics, Industrial Engineering, Information Systems, Mathematics, or a related field
  </li>
  <li>
   Minimum 4 years of experience as a Data Warehouse Developer
  </li>
  <li>
   Strong experience with SQL development, including query optimization, indexing strategies, and performance improvements
  </li>
  <li>
   Strong proficiency in writing complex SQL queries, indexing strategies, stored procedures, and functions in Vertica
  </li>
  <li>
   Hands-on experience in building ETL/ELT pipelines and working with modern ETL tools
  </li>
  <li>
   Familiarity with the terms like; Conversion Funnel, A/B or Split Testing, Customer Insights
  </li>
  <li>
   Domain knowledge in similar businesses or e-commerce is a huge plus.
  </li>
  <li>
   Strong communication skills, with the ability to collaborate effectively with cross-functional teams and business stakeholders.
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Preferred Skills
  </strong>
 </p>
 <ul>
  <li>
   Expertise in managing and optimizing Vertica
  </li>
  <li>
   Familiarity with version control systems like Git.
  </li>
 </ul>
 <p>
 </p>
</div>


Analytics Engineer

Innovance Consultancy

<div>
 <p>
  <strong>
   Business Intelligence (BI) Developer &ndash; Power BI Focused
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the job:
  </strong>
 </p>
 <p>
  Innovance provides the latest generation &amp; high-quality digital transformation initiatives for banks and other financial institutions since 2017 from near sourcing services to technology advisory services. Innovance focuses on impact &amp; delivery by providing world-class strategic IT leadership, remote or on-site support to clients at all layers with measurable results on operational &amp; financial verticals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a highly motivated and detail oriented &lsquo;
  <strong>
   &rsquo;BI Developer&rsquo;&rsquo;
  </strong>
  with proven expertise in Power BI to join our data team. The ideal candidate will have strong data modeling and visualization skills, coupled with a solid foundation in SQL and business intelligence concepts.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Be responsible for all Business Intelligence and Reporting needs of our customer.
  </li>
  <li>
   Be a part of a team to enable executive dashboards, prepare visualization and reporting solutions using PowerBI on Azure Cloud Environment
  </li>
  <li>
   Ability to design the PowerBI dashboards with advanced concepts to bring best practices
  </li>
  <li>
   Analyze and identify the data requirements of business stakeholders
  </li>
  <li>
   Support team in data modeling, design, test and data quality life cycles
  </li>
  <li>
   Develop collaborative relationship with data team and cross-functional stakeholders for efficient resolutions
  </li>
  <li>
   Translate business needs to technical specifications
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in a quantitative discipline (e.g., Computer Engineering, Industrial Engineering, MIS, Mathematics, or Statistics)
  </li>
  <li>
   <strong>
    Minimum 4 years of professional experience
   </strong>
   in business intelligence, analytics, or data engineering roles
  </li>
  <li>
   <strong>
    Hands-on experience with Power BI
   </strong>
   , including data modeling, DAX, Power Query (M), and report/dashboard development
  </li>
  <li>
   Strong command of
   <strong>
    SQL
   </strong>
   , with the ability to write complex queries and perform data profiling
  </li>
  <li>
   Experience working with relational databases such as
   <strong>
    SQL Server
   </strong>
   or
   <strong>
    Oracle
   </strong>
  </li>
  <li>
   Experience in
   <strong>
    data warehouse modernization
   </strong>
   projects is a strong plus
  </li>
  <li>
   Familiarity with
   <strong>
    ETL tools
   </strong>
   such as Azure Data Factory, SSIS, ODI, or Informatica is preferred
  </li>
  <li>
   Understanding of cloud data platforms (Azure, AWS) is a plus
  </li>
  <li>
   Exposure to other BI tools like Tableau, Qlik Sense, or SAP BO is a bonus
  </li>
  <li>
   Experience working in
   <strong>
    agile/scrum environments
   </strong>
  </li>
  <li>
   Ability to explain data concepts to both technical and non-technical stakeholders
  </li>
  <li>
   Strong communication skills and
   <strong>
    fluency in English
   </strong>
   , both written and verbal
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Desired Characteristics:
  </strong>
 </p>
 <ul>
  <li>
   Eager to learn new tools and technologies
  </li>
  <li>
   Strong analytical and problem-solving skills
  </li>
  <li>
   Strong teamwork and communication skills
  </li>
  <li>
   Data-driven analytical mindset
  </li>
  <li>
   Detail-oriented
  </li>
  <li>
   Solution-oriented
  </li>
  <li>
   Self-starter
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Follow us:
   </em>
  </strong>
 </p>
 <ul>
  <li>
   LinkedIn:
   <strong>
    https://www.linkedin.com/company/innovance-consultancy
   </strong>
  </li>
  <li>
   LinkedIn:
   <strong>
    https://www.linkedin.com/company/dataspecta
   </strong>
  </li>
  <li>
   Instagram:
   <strong>
    <u>
     https://www.instagram.com/innovanceconsultancy
    </u>
   </strong>
  </li>
  <li>
   Instagram:
   <strong>
    https://www.instagram.com/dataspecta
   </strong>
  </li>
 </ul>
</div>


Business Intelligence (BI) Developer – Power BI Focused

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