Develop, design, and manage interactive dashboards and reports using Spotfire and Tableau.
Analyze complex data sets to derive actionable insights and support data-driven decision-making processes.
Write and optimize advanced queries using SQL and PL / SQL for data extraction and transformation.
Collaborate with cross-functional teams to understand business requirements and provide customized analytics solutions.
Ensure data integrity, security, and consistency across various data sources and platforms.
Monitor, troubleshoot, and resolve issues in analytics tools and data pipelines.
Stay updated on the latest trends and technologies in data analytics and visualization.
Understand business requirements in BI context and design data models to transform raw data into meaningful insights
Perform ETL operations using SQL in conventional environments (MSSQL / Oracle), Big data environments (Hadoop), and data virtualization tools (Denodo).
Manage and maintain databases to ensure data quality, integrity, and security, optimizing database performance and scalability.
Interpret business requirements from cross-functional teams and develop advanced analytical and reporting solutions.
Apply statistical knowledge and its applications to drive business insights.
Leverage supply chain knowledge and general business acumen to inform data-driven decisions.
Deliver valuable solutions to business problems and present findings and recommendations to Management.
Create dashboards and interactive visual reports using Power BI
Analysing and presenting data through reports that aid decision making
Convert business requirements into technical specifications and decide timeline to accomplish
Create relationships between data and develop multidimensional data models
Chart creation and data documentation explaining algorithms, parameters, models and relations
Design, develop, test and deploy Power BI scripts and perform detailed analytics
Perform DAX queries and functions in Power BI
Analyse current ETL process, define and design new systems
SQL querying for best results, use of filters and graphs
Developing Dashboards : Created dynamic, KPI-driven dashboards for [specific industries, e.g., retail, finance, or logistics], increasing visibility into key performance metrics.
DAX Implementation : Used DAX functions to create custom measures for sales performance, trend analysis, and forecast modeling.
Data Connectivity : Integrated multiple data sources into Power BI, including SQL databases, Excel files, and online services.
Requirement Gathering : Worked closely with business teams to define objectives, ensuring dashboards meet their analytical needs.
Requirements :
4+ years of experience in data analytics, visualization, and database management.
Expertise in Spotfire, Tableau, and other data visualization tools.
Strong knowledge of SQL and PL / SQL with hands-on experience in complex query building.
Experience in handling large datasets and creating scalable analytics solutions.
Solid understanding of data modeling, ETL processes, and data warehousing concepts.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
ref : hirist.tech)
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Data Specialist • Delhi, IN
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