Data Analyst

Job Description – Data Analyst Position: Data Analys t Location: Dubai, United Arab Emirat es Employment Type: Full-T ime Workplace Type: On site Experience: 2–3 Years Education: Bachelor's Degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Engineering, or a related field. About P innaclePinnacle is a global leader in BIM, Digital Engineering, and Virtual Design & Construction (VDC) solutions. With over 30 years of industry experience and a global presence, Pinnacle delivers innovative technology-driven solutions that enable clients to optimize project delivery and operational effi ciency.We are looking for a highly analytical and detail-oriented Data Analyst to join our team in Dubai. The ideal candidate will leverage data to generate meaningful insights, support strategic decision-making, and improve software products and business processes. This role requires strong analytical capabilities, hands-on experience with data visualization tools, and the ability to collaborate across multiple technical and business teams. Key Responsi • bilitiesCollect, extract, clean, validate, and analyze structured and unstructured data from software applications, databases, enterprise systems, APIs, and user activi • ty logs.Ensure data quality, integrity, consistency, and governance across multiple data • sources.Analyze software usage metrics, customer behaviour, and application performance to identify trends, bottlenecks, and opportunities for product enha • ncement.Design, develop, and maintain interactive dashboards, reports, and visualizations using Power BI, Tableau, or similar Business Intelligenc • e tools.Monitor and report on key business and product performance indicators (KPIs) to support informed decision • -making.Perform statistical analysis, predictive modelling, trend analysis, and hypothesis testing to identify actionable business i • nsights.Develop automated reporting solutions to improve operational efficiency and reduce manual • effort.Support ETL (Extract, Transform, Load) processes by integrating data from multiple business applications and da • tabases.Work closely with Product Managers, Software Developers, QA Engineers, UI/UX Designers, and Project Managers to translate business requirements into analytical so • lutions.Conduct ad-hoc analysis and prepare data-driven recommendations for business stake • holders.Continuously evaluate new data analytics techniques, tools, and best practices to enhance reporting capab ilities. Required Technic al SkillsThe ideal candidate should possess experience in the followi • ng areas:Strong proficiency in SQL, including PostgreSQL, MySQL, or Microsoft SQL Server for querying and managing large • datasets.Hands-on experience with Business Intelligence and data visualization platforms such as Power BI or • Tableau.Good knowledge of Python for data analysis, automation, and advanced a • nalytics.Strong understanding of statistical concepts including regression analysis, correlation analysis, hypothesis testing, and predictive a • nalytics.Experience in data cleansing, preprocessing, validation, and transformation of large • datasets.Familiarity with ETL processes and data integration techniques for consolidating information from multiple • sources.Experience in building dashboards, reports, scorecards, and KPI monitoring s • olutions.Ability to interpret software usage metrics and convert raw data into meaningful business • insights.Understanding of business intelligence concepts and performance reporting metho dologies. Prefer red SkillsCandidates with experience in the following areas will have an added • advantage:Exposure to ETL and data integration tools such as Apache Airflow, Talend, or Micro • soft SSIS.Experience working with IoT, SCADA, or ThingsBoard platforms for analyzing sensor-generated data such as temperature, vibration, equipment utilization, and operational pe • rformance.Knowledge of ERP, CMMS, or enterprise busines • s systems.Familiarity with cloud-based analytics platforms and modern data arch • itectures.Understanding of software development lifecycle (SDLC) and Agile meth odologies. • Soft SkillsExcellent analytical and critical thinking • abilities.Strong problem-solving and decision-mak • ing skills.Excellent written and verbal communicat • ion skills.Ability to present technical findings to both technical and non-technical st • akeholders.Strong attention to detail and commitment to dat • a accuracy.Ability to manage multiple priorities in a fast-paced e • nvironment.Strong collaboration and interpersonal skills with cross-functi • onal teams.Self-motivated, proactive, and eager to learn emerging te chnologies. Why Jo • in Pinnacle?Work on cutting-edge Digital Engineering and softwar • e solutions.Collaborate with highly skilled professionals across g • lobal teams.Gain exposure to enterprise-scale analytics, digital transformation, and smart technology • initiatives.Enjoy continuous learning, career development, and growth opportunities in a technology-driven • environment.Be part of an innovative organization committed to excellence and digital innovation. Show more Show less

Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Engineering, or a related field. 2–3 years of experience in data analysis. On-site position based in Dubai, UAE. Full-time employment.

Collect, extract, clean, validate, and analyze structured and unstructured data from software applications, databases, enterprise systems, APIs, and user activity logs. Ensure data quality, integrity, consistency, and governance across multiple data sources. Analyze software usage metrics, customer behaviour, and application performance to identify trends, bottlenecks, and opportunities for product enhancement. Design, develop, and maintain interactive dashboards, reports, and visualizations using Power BI, Tableau, or similar BI tools. Monitor and report on KPIs to support informed decision-making. Perform statistical analysis, predictive modelling, trend analysis, and hypothesis testing to identify actionable insights. Develop automated reporting solutions to improve operational efficiency. Support ETL processes by integrating data from multiple databases and applications. Collaborate with Product Managers, Software Developers, QA Engineers, UI/UX Designers, and Project Managers to translate business requirements into analytical solutions. Conduct ad-hoc analysis and provide data-driven recommendations to stakeholders. Continuously evaluate new data analytics techniques, tools, and best practices to enhance reporting capabilities.