database analyst

Revolut

<div>
 
 
 About Revolut
 
 
 
 
 
 
 People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 70+ million customers get more from their money every day.
 
 
 
 
 
 As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
 
 
 
 
 
 
 About the role
 
 
 
 
 
 
 Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.
 
 
 
 
 
 We&rsquo;re looking for a Data Analyst who can dig into our complex databases, look for the root cause of a problem, and design their own solutions by writing codes to implement them.
 
 
 
 
 
 Up to shape what's next in finance? Let's get in touch.
 
 
 
 
 
 
 What you'll be doing
 
 
 
 
 
 <ul>
 <li>
 Building and maintaining trusted datasets for reporting and analytics, working across multiple source systems and owners
 </li>
 <li>
 Supporting database sharding and data residency programme
 </li>
 <li>
 Validating data accuracy between source systems and replicated datasets, and investigating discrepancies
 </li>
 <li>
 Owning the delivery around requirements, data mapping, transformation logic, scheduling, monitoring, and fixes
 </li>
 <li>
 Defining, implementing, and documenting business metrics with clear lineage so reporting is consistent and audit-ready
 </li>
 <li>
 Creating and maintaining new aggregated views and tables to simplify data querying
 </li>
 <li>
 Coordinating across Product Engineering, DevOps/SRE, and Data to unblock ETL delivery, manage dependencies, and ensure pipelines meet reliability and data quality expectations
 </li>
 <li>
 Maintaining documentation and governance, such as dataset specs, metric definitions, lineage, access classification, and change notes
 </li>
 <li>
 Partnering with stakeholders to turn questions into data products that are audit-ready and scalable
 </li>
 </ul>
 
 
 
 
 
 What you'll need
 
 
 
 
 
 <ul>
 <li>
 5+ years of experience in an analytical role, creating impactful data-driven solutions
 </li>
 <li>
 A solid background/education in a quantitative discipline
 </li>
 <li>
 Great skills with Python, SQL, or other programming languages
 </li>
 <li>
 Experience with financial services datasets (payments, ledger, reconciliations, fraud/risk, regulatory reporting).
 </li>
 <li>
 Demonstrated experience implementing data quality controls and reconciliation checks for replicated or high-stakes datasets
 </li>
 <li>
 Evidence of exceptional mathematical and statistics knowledge
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 
 
 
 <ul>
 <li>
 An advanced degree in a core STEM subject
 </li>
 <li>
 Knowledge of data governance practices (sensitivity classification, access controls, ownership models)
 </li>
 <li>
 Familiarity with orchestration and transformation tooling (Airflow or similar)
 </li>
 <li>
 Experience building dashboards in Looker
 </li>
 </ul>
 
 
 
 
 
 Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
 
 
 
 
 
 
 
 
 Important notice for candidates:
 
 
 
 
 
 Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.
 
 
 
 
 &bull;
 
 
 
 Only apply through official Revolut channels.
 
 
 
 We don&rsquo;t use any third-party services or platforms for our recruitment.
 
 
 
 
 &bull;
 
 
 
 Always double-check the emails you receive.
 
 
 
 Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.
 
 
 
 
 
 We won't ask for payment or personal financial information during the hiring process.
 
 
 
 If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.
 
 
 
 
 
 
 
 By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice
 
 
 
 
</div>

Data Analyst (Engineer)

IPS Intelligent Process Solutions

<div>
 
 
 Data Analyst
 
 
 
 
 
 
 full-time position | hybrid work | Dubai (UAE)
 
 
 
 
 
 We are a rapidly growing international software company, with a global presence in the electrical energy industry. We provide advanced, specialized, valuable solutions and support to customer organizations worldwide to transform data into real-world intelligence for critically important business and technical decisions. We specialize in Enterprise Asset Management (EAM), Asset Performance Management (APM), Protection &amp; IED, Network Model Management (NMM), Outage System Management (OMS) software, and analytics. IPS&reg;SYSTEMS offers outstanding and innovative solutions for the Global Energy Industry.
 
 
 
 
 
 Do you want to contribute to the digital future? The IPS Global Group is looking for a
 
 Data Analyst
 
 
 
 
 
 
 
 Your Responsibilities
 
 
 <ul>
 <li>
 Write and optimize SQL queries to extract, transform, and analyze data from multiple sources
 </li>
 <li>
 Use Python and C# or other required technology to automate data collection, cleaning, and analysis processes, improving efficiency and accuracy
 </li>
 <li>
 Developing and writing algorithms for complex data analysis tasks and working with the team on the development of AI/ML features
 </li>
 <li>
 Collaborate with both technical and non-technical team members and clients to understand business needs and design appropriate solutions
 </li>
 <li>
 Develop an in-depth understanding of customer requirements and translate them to the development and integration team to deliver solutions in an agile environment
 </li>
 <li>
 Deploy, maintain, and troubleshoot core business applications, including application servers, endpoints, and databases
 </li>
 <li>
 Develop, analyze, prioritize, and organize requirement specifications, data mapping, diagrams, and flowcharts for developers and testers to follow
 </li>
 <li>
 Developing reports, dashboards, compelling visualizations, and presentations to communicate strategic findings and presenting these insights as recommendations to key stakeholders
 </li>
 <li>
 Guide the customer on how to optimize their software usage to get the best out of our products and provide technical support to customers, testing applications, maintenance and responding to customer feedback
 </li>
 <li>
 Providing support and demonstrations for the technical sales process, tendering and solutions based on customer requirements in cooperation with the development team
 </li>
 <li>
 Support for the creation of technical documents, such as user and operational documentation, data models as well as training documentation
 </li>
 <li>
 Responsible for all technical matters regarding the analysis and verification of application-related customer data
 </li>
 <li>
 Support solution and product, configuration, implementation, testing and documentation
 </li>
 <li>
 Be involved in all project phases; from design, configuration, workshops, and documentation, to test case definition and execution
 </li>
 </ul>
 
 
 
 
 
 Your Energy
 
 
 <ul>
 <li>
 Degree in Electrical Engineering or equivalent technical degree
 </li>
 <li>
 More than three years of professional experience, ideally with domain knowledge in the energy industry
 </li>
 <li>
 Proficiency in creating and maintaining technical documentation, including business process models, data models, and functional specifications
 </li>
 <li>
 Good command of Microsoft SQL Server, programming skills in C#, ETL frameworks and software configuration
 </li>
 <li>
 Good command of SQL, data modeling, Python programming, and data analytics
 </li>
 <li>
 Demonstrated experience in managing large data sets and relational databases
 </li>
 <li>
 Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with accuracy
 </li>
 <li>
 Strong communication skills and ability to provide technical support to customers as well as to develop good relationships with them
 </li>
 <li>
 Proven experience in Agile/Scrum and/or Waterfall project delivery and working with PM tools (MS Project, JIRA, etc.)
 </li>
 </ul>
 
 
 
 
 
 What we offer
 
 
 <ul>
 <li>
 An interesting and varied position in a world-leading, internationally active company where you will have the opportunity to be involved in projects worldwide
 </li>
 <li>
 Working with the latest technology
 </li>
 <li>
 Culture of trust, teamwork, empowerment, and constructive feedback
 </li>
 <li>
 Possibility for further career advancement in a successful, growing company
 </li>
 <li>
 Your development &ndash; our commitment: career opportunities based on each profile and supporting each employee to achieve their professional and career goals
 </li>
 </ul>
</div>

Data Analyst

Virtusa

<div>
 Data Analyst &ndash; CRM Project
 
 
 Domain Knowledge- Banking
 
 
 Strong understanding of customer and relationship data in banking.
 
 
 
 Familiarity With Concepts Such As
 
 
 
 Customer profiles
 
 
 Customer segmentation
 
 
 Customer interactions
 
 
 Customer lifecycle data.
 
 
 Functional Responsibilities
 
 
 Identify and integrate customer-related data across multiple banking systems.
 
 
 Support the creation of customer 360 datasets for banks
 
 
 Develop source-to-target mappings for CRM data ingestion for banks
 
 
 Define transformation logic for customer data consolidation for banks
 
 
 Support development of customer data marts and CRM reporting structures at banks
 
 
 Validate customer data consistency across systems in banking environment
 
 
 
 Preferred Experience
 
 
 
 CRM implementations in banks
 
 
 Customer analytics platforms for banks
 
 
 Customer data management initiatives for banks
</div>

Data Analyst CRM

MultiBank Group

<div>Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 17+ financial regulators across 5 continents, and recipient of over 70 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
We are seeking a Data Analyst to join our quantitative dealing team and support the reliability and accuracy of business-critical trading data reporting. In this role, you will focus on monitoring, validating, and reconciling analytical outputs, ensuring consistency across datasets and timely resolution of discrepancies raised by stakeholders.
You will work closely with Quantitative Analysts and multiple internal teams, playing a key role in the quantitative dealing team&rsquo;s daily operations while gaining hands-on exposure to production data, reporting pipelines, and analytical processes. Beyond maintaining reporting outputs, you will work on validating trading and risk metrics, investigating discrepancies, and supporting the continuous improvement of analytical frameworks used in daily decision-making. This role offers involvement with real trading data, critical risk management processes, and modern data infrastructure, making it an excellent opportunity for an early-career professional or recent graduate looking to grow within a quantitative dealing environment.
Key Responsibilities<ul><li>
Monitor and validate daily and periodic reports to ensure accuracy, consistency, and alignment with agreed definitions and benchmarks.</li><li>
Perform first-level reconciliation and discrepancy analysis across multiple data sources, identifying root causes and documenting findings.</li><li>
Support reporting processes by maintaining datasets, applying changes to filters or parameters, and validating changes prior to release.</li><li>
Contribute to the quality and reliability of data inputs used in risk management and hedging decisions.</li><li>
Use Excel, SQL, and Python to extract, compare, and analyze structured datasets for reporting and reconciliation purposes.</li><li>
Support backtesting and critical verification of existing risk management and dealing algorithms, helping assess their behavior under different scenarios and historical conditions.</li><li>
Assist in documenting reporting logic, data assumptions, and procedural changes to improve transparency and reduce future discrepancies.</li><li>
Collaborate with Quantitative Analysts, dealers, and other stakeholders to support smooth daily operations and data-driven decision-making.</li><li>
Gain exposure to sophisticated cloud-based data and analytics services, contributing to the evolution of scalable and automated workflows.</li></ul>
Qualifications &amp; Skills<ul><li>
Strong attention to detail and a methodical approach to working with data, particularly in accuracy-critical environments.</li><li>
Basic working knowledge of Python for data analysis and manipulation.</li><li>
Basic to intermediate SQL skills for querying and validating structured datasets.</li><li>
High proficiency in Excel, including data reconciliation, formulas, and structured analysis.</li><li>
Ability to work with multiple data sources and identify inconsistencies or anomalies.</li><li>
Strong motivation to learn, take ownership of tasks, and grow technical skills through hands-on experience.</li><li>
Good communication skills and the ability to clearly document findings and explain to technical and non-technical stakeholders.</li><li>
Degree in a quantitative field such as Data Science, Statistics, Economics, Finance, or a related discipline is preferred.</li><li>
A genuine interest in trading and financial markets is desirable.</li></ul>
Why Join Us?<ul><li>
Work with an industry-leading global financial institution.</li><li>
Competitive salary and comprehensive employee benefits.</li><li>
Opportunities for professional growth and career advancement.</li><li>
Collaborative, inclusive, and dynamic work environment.</li><li>
Commitment to innovation and professional excellence.</li></ul>
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
MultiBank Group combines prime liquidity, cutting-edge technology, and first-class service to deliver advanced trading platforms to clients worldwide.
Our mission is to provide exceptional products and services to our clients &mdash; and we continue to invest heavily in technology and regulation to benefit our customers and the financial industry as a whole.
As the most heavily regulated financial derivatives group, MultiBank Group maintains an unblemished regulatory record with all its regulators.
Positions available across our 25+ global offices &mdash; Dubai, Hong Kong, Singapore, London, Sydney, and more. Learn more: www.multibankgroup.com
MultiBank Group is an equal opportunity employer committed to diversity and inclusion. By submitting your application, you agree that your personal data will be processed in accordance with our Privacy Policy.</div>

GSSTech Group

<div>We are seeking a detail-oriented and analytical Data Analyst with experience in the insurance domain, data migration initiatives, and Master Data Management (MDM). The ideal candidate will support large-scale transformation projects involving policy, claims, underwriting, and customer data while ensuring high data quality, integrity, and governance standards.
This role requires strong analytical skills, business domain knowledge in insurance, and hands-on experience in data mapping, reconciliation, validation, and MDM processes.
Key Responsibilities
1. Insurance Domain Data Analysis<ul><li>Analyze insurance data across Policy Administration, Claims, Underwriting, Billing, and Reinsurance systems</li><li>Work closely with business stakeholders to understand data requirements and regulatory needs</li><li>Interpret complex insurance data models and business rules</li></ul>
2. Data Migration<ul><li>Perform source-to-target data mapping and transformation logic documentation</li><li>Conduct data profiling, cleansing, validation, and reconciliation activities</li><li>Identify data gaps, inconsistencies, and quality issues during migration</li><li>Support migration from legacy systems to modern core insurance platforms</li><li>Validate migrated data through UAT and post-migration audits</li></ul>
3. Master Data Management (MDM)<ul><li>Support implementation and maintenance of MDM frameworks</li><li>Manage different data sets and data sources.
</li><li>Define and monitor data quality KPIs</li><li>Ensure standardization, de-duplication, and golden record creation</li><li>Work with governance teams to enforce data standards and policies</li></ul>
4. Reporting &amp; Insights<ul><li>Develop dashboards and reports using tools such as Microsoft Power BI and Tableau</li><li>Perform ad-hoc analysis to support underwriting and claims performance</li><li>Present data insights to business and leadership teams</li></ul>
Required Qualifications<ul><li>Bachelor&rsquo;s degree in data science, Computer Science, Statistics, Finance, or related field</li><li>4&ndash;8 years of experience as a Data Analyst, preferably in the insurance domain</li><li>Strong SQL skills (e.g., Oracle Database, Microsoft SQL Server, , MySQL)</li><li>Experience in data migration projects (ETL, mapping, reconciliation)</li><li>Hands-on experience with Master Data Management concepts and tools</li><li>Strong understanding of data governance and data quality frameworks</li><li>Knowledge of insurance regulatory requirements and compliance standards</li><li>Proficiency in Excel and data analysis techniques</li><li>Knowledge of visualization tools will be an added advantage</li></ul></div>

Data Analyst - Insurance domain

Confidential

<div>
 
 
 JOB SUMMARY
 
 
 
 We are looking for a
 
 Reporting Analyst
 
 with strong
 
 SQL expertise
 
 to design, develop, and maintain operational and management reports using data from our
 
 Warehouse Management System (WMS &ndash; LFS)
 
 . The role will focus on building high-quality
 
 Power BI dashboards
 
 , writing optimized SQL queries, and supporting data-driven decision-making across logistics and warehouse operations.
 
 
 
 
 
 
 Job Type
 
 : 6 months and extendable if the work is satisfactory
 
 
 
 Salary:
 
 14K AED
 
 
 
 
 
 
 TECHNICAL COMPETENCIES
 
 
 
 
 Intermediate proficiency in Python for data analysis, automation, and advanced analytics is required.
 
 
 <ul>
 <li>
 Experience working with Pandas, NumPy, API integrations, and database connectivity.
 </li>
 <li>
 Ability to build automation scripts for recurring reporting tasks.
 </li>
 </ul>
 
 
 
 
 
 Python (Intermediate Level &ndash; Data Analytics &amp; Automation):
 
 
 <ul>
 <li>
 Strong working knowledge of Python for data analysis and automation.
 </li>
 <li>
 Hands-on experience with Pandas, NumPy, and Matplotlib/Seaborn for data manipulation and visualization.
 </li>
 <li>
 Ability to write reusable scripts for data extraction, cleansing, transformation, and validation.
 </li>
 <li>
 Experience connecting Python to databases (Vertica, SQL Server, REST APIs).
 </li>
 <li>
 Knowledge of using Python within Power BI (Python visuals / data transformation).
 </li>
 <li>
 Basic understanding of automation scripting and process optimization.
 </li>
 <li>
 Exposure to Jupyter Notebook or similar development environments.
 </li>
 <li>
 Ability to implement basic statistical models and forecasting using Python libraries.
 </li>
 </ul>
 
 
 
 
 
 Data Manipulation and Cleaning:
 
 
 <ul>
 <li>
 Proficient in collecting, cleaning, and preprocessing data from multiple sources, using Power Query for data transformation.
 </li>
 <li>
 Skilled in querying data from databases using SQL and integrating it into Power BI.
 </li>
 <li>
 Strong hands-on experience in
 
 SQL
 
 (complex joins, subqueries, CTEs, performance tuning).
 </li>
 </ul>
 
 
 
 
 
 Data Modeling in Power BI:
 
 
 <ul>
 <li>
 Expertise in building and optimizing
 
 data models
 
 within
 
 Power BI
 
 , focusing on efficient relationships, calculated columns, and
 
 measures
 
 using
 
 DAX
 
 (Data Analysis Expressions).
 </li>
 <li>
 Knowledge of
 
 star schema
 
 and
 
 snowflake schema
 
 modeling to improve performance and usability in Power BI reports.
 </li>
 </ul>
 
 
 
 
 
 Advanced DAX for Analytics:
 
 
 <ul>
 <li>
 Mastery of DAX functions for advanced calculations, such as time intelligence, ranking, dynamic filtering, and performance optimization in reports.
 </li>
 <li>
 Experience in dynamic measures, KPIs, and predictive modeling within Power BI to support business forecasting.
 </li>
 </ul>
 
 
 
 
 
 Statistical and Analytical Thinking:
 
 
 <ul>
 <li>
 Strong foundation in statistical concepts (e.g., hypothesis testing, regression analysis) applied through Power BI.
 </li>
 <li>
 Experience with R and Python integration within Power BI for more advanced statistical analysis and machine learning, if needed.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS, EXPERIENCE AND SKILLS
 
 
 
 
 Desirable Qualification:
 
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Data Science, or a related field.
 
 
 
 Work Experience:
 
 Proven experience (5+Yeras) as a Data Analyst/BI Developer, or similar role, preferably in a large-scale organization or within the logistics industry.
 
 
 
 
 
 
 Technical skills required to perform the role:
 
 
 <ul>
 <li>
 4-7 years of experience in data visualization using Power BI.
 </li>
 <li>
 Strong proficiency in DAX, Power Query, and Power Automate.
 </li>
 <li>
 Excellent analytical skills with the ability to interpret complex data sets.
 </li>
 <li>
 Familiarity with data modeling and visualization best practices.
 </li>
 <li>
 Strong communication skills to collaborate with cross-functional teams.
 </li>
 <li>
 Experience to design Dashboard to be compatible with
 
 Mobile Devices
 
 </li>
 <li>
 Expertise in extracting the data from
 
 REST APIs
 
 to Power BI Visualization Tool
 </li>
 <li>
 Strong knowledge in understanding of Database Concepts and Ability to write
 
 SQL Queries
 
 </li>
 <li>
 Able to Develop Data Models to identify potential opportunities and risks using the data sets
 </li>
 <li>
 Interpret data, analyze results using statistical techniques and provide ongoing trends or patterns and reports.
 </li>
 <li>
 Strong hands-on experience in
 
 SQL
 
 (complex joins, subqueries, CTEs, performance tuning).
 </li>
 </ul>
 
 
</div>

Reporting Analyst – Power BI & Vertica

<div>
 Understanding the project requirements, by conducting Business Discovery Sessions
 
 
  Work with internal teams like system support teams, DBA and MIS teams to translate the existing requirements into
 
 
 the desired mart and reports
 
 
  Prepare data mapping documents, needed for development of various layers of the data platform (raw &ndash; bronze,
 
 
 EDM &ndash; silver, project specific &ndash; gold)
 
 
  Support during various phases of the projects as needed by the data engineers, data modelers, QA testers and Power
 
 
 BI developers
 
 
  Collaborating with other developers, data analysts, and stakeholders to ensure that the software meets the needs of
 
 
 the business or organization
 
 
 Strong analytical and problem-solving skills to effectively design data solutions.
 
 
 <ul>
 <li>
 Banking Retail, Business &amp; Wholesale Product Knowledge and understanding
 </li>
 <li>
 Attention to detail and a commitment to delivering high-quality work.
 </li>
 <li>
 Excellent communication and teamwork skills to collaborate with cross-functional teams.
 </li>
 <li>
 Ability to manage time effectively and prioritize tasks in a dynamic work environment.
 
 
 </li>
 </ul>
 
  Technical Skills
 
 
 
 <ul>
 <li>
 Strong data querying and processing skills using SQL, Oracle, Apache Spark or similar language
 </li>
 <li>
 Data Visualization tools &ndash; Power BI, Business Objects, Crystal or similar tool
 </li>
 <li>
 Data Warehousing and ETL concepts
 
 
 </li>
 </ul>
 
  Competencies
 
 
 
 <ul>
 <li>
 Expert-level proficiency in SQL, Python with SAS/R/Spark as plus
 </li>
 <li>
 Deep understanding of distributed data processing frameworks, particularly Apache Spark.
 </li>
 <li>
 Experience with cloud platforms (Azure, AWS) &mdash; including Object storage, compute, networking, and data
 
 
 </li>
 </ul>
 integration services.
 
 
 <ul>
 <li>
 Familiarity with data modeling techniques, including schema design, partitioning, and performance tuning.
 </li>
 <li>
 Experience working with structured and semi-structured data formats (e.g., JSON, Parquet, Avro, XML).
 </li>
 <li>
 Knowledge of data governance, quality assurance, and compliance best practices.
 </li>
 <li>
 Solid grasp of core computer science fundamentals (e.g., data structures, search algorithms, queues)
 
 
 </li>
 </ul>
 relevant to performance-critical data engineering
</div>

Data Analyst - ERP Project

Explore 194+ Database analyst in Dubai this April. Find roles across top companies and apply now to boost your career.

194 database analyst jobs In Dubai

Data Analyst (Engineer)

Data Analyst

Data Analyst CRM

Data Analyst

Data Analyst - Insurance domain

Reporting Analyst – Power BI & Vertica

Data Analyst - ERP Project