Data Analyst
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Key skills for this role
About the Role
Pinnacle is looking for a Data Analyst to leverage data for meaningful insights, support strategic decision-making, and improve software products and business processes. The role requires strong SQL, Power BI/Tableau, and Python skills, with 2-3 years of experience.
Key Skills for This Role
Responsibilities
- 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 Business Intelligence 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 insights.
- 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 databases.
- Work closely 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 prepare data driven recommendations for business stakeholders.
- Continuously evaluate new data analytics techniques, tools, and best practices to enhance reporting capabilities.
Requirements
- Bachelor's Degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Engineering, or a related field.
- 2–3 years of experience as a Data Analyst or similar role.
- 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 analytics.
- Strong understanding of statistical concepts including regression analysis, correlation analysis, hypothesis testing, and predictive analytics.
- 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 solutions.
- Ability to interpret software usage metrics and convert raw data into meaningful business insights.
- Understanding of business intelligence concepts and performance reporting methodologies.
- Exposure to ETL and data integration tools such as Apache Airflow, Talend, or Microsoft SSIS is an advantage.
Full Job Posting
Job Description – Data Analyst
- Position: Data Analyst
- Location: Dubai, United Arab Emirates
- Employment Type: Full Time
- Workplace Type: Onsite
- Experience: 2–3 Years
- Education: Bachelor's Degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Pinnacle is a global leader in BIM, Digital Engineering, and Virtual Design & Construction (VDC) solutions.
Key Responsibilities
- 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 Business Intelligence 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 insights.
- 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 databases.
- Work closely 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 prepare data driven recommendations for business stakeholders.
- Continuously evaluate new data analytics techniques, tools, and best practices to enhance reporting capabilities.
Required Technical Skills
- 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 analytics.
- Strong understanding of statistical concepts including regression analysis, correlation analysis, hypothesis testing, and predictive analytics.
- 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 solutions.
- Ability to interpret software usage metrics and convert raw data into meaningful business insights.
- Understanding of business intelligence concepts and performance reporting methodologies.
Preferred Skills
- Exposure to ETL and data integration tools such as Apache Airflow, Talend, or Microsoft SSIS.
- Experience working with IoT, SCADA, or ThingsBoard platforms for analyzing sensor generated data such as temperature, vibration, equipment utilization, and operational performance.
- Knowledge of ERP, CMMS, or enterprise business systems.
- Familiarity with cloud based analytics platforms and modern data architectures.
- Understanding of software development lifecycle (SDLC) and Agile methodologies.
Soft Skills
- Excellent analytical and critical thinking abilities.
- Strong problem solving and decision making skills.
- Excellent written and verbal communication skills.
- Ability to present technical findings to both technical and non technical stakeholders.
- Strong attention to detail and commitment to data accuracy.
- Ability to manage multiple priorities in a fast paced environment.
- Strong collaboration and interpersonal skills with cross functional teams.
- Self motivated, proactive, and eager to learn emerging technologies.
Why Join Pinnacle?
- Work on cutting edge Digital Engineering and software solutions.
- Collaborate with highly skilled professionals across global 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.
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