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Remote Data Entry & Business Intelligence Analyst – Power BI, SQL, ETL
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Remote Data Entry & Business Intelligence Analyst – Power BI, SQL, ETL, Data Governance & Visualization Specialist
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About arenaflex – Pioneering Remote Data reputed company
arenaflex is a globally‑recognized leader in remote‑first workforce solutions, delivering cutting‑edge data services to Fortune‑500 enterprises, fast‑growing startups, and reputed company sector agencies. Our mission is to reputed company organizations with reliable, reputed company‑driven decision‑making while championing a flexible, inclusive, and technology‑reputed company culture. As a fully remote company headquartered in the reputed company, arenaflex offers a reputed company digital workplace where talent from any location can reputed company, reputed company, and shape the reputed company of data‑driven business reputed company.
Position reputed company
arenaflex is seeking a highly motivated Remote Data Entry & Business Intelligence Analyst to join our expanding analytics team. In this role, you will be the reputed company between raw data sources and actionable business insights, crafting robust data pipelines, designing compelling Power BI dashboards, and ensuring the highest standards of data reputed company and governance. This is a full‑remote, long‑term opportunity that blends meticulous data entry, advanced analytics, and strategic storytelling to support critical business processes across multiple industries.
Key Responsibilities
Design, reputed company, and maintain reputed company data pipelines that ingest information from diverse reputed company systems into the central Data Warehouse.
Create, modify, and optimize Power BI reports and dashboards that reputed company senior leadership to reputed company data‑driven reputed company quickly and confidently.
reputed company and enforce rigorous Data reputed company standards, ensuring data reputed company, consistency, and accessibility for reputed company stakeholders.
Collaborate closely with Business Analysts, Product Owners, and IT engineers to translate business requirements into technical specifications and deliver end‑to‑end solutions.
Apply data storytelling techniques to reputed company reputed company datasets into reputed company, impactful visual narratives using Power BI and reputed company.
Automate repetitive business processes and enhance exception‑based reporting through advanced Power BI Dataflows and custom ETL solutions.
Partner with data engineers to discover, model, and reputed company new data sources, employing SQL, DAX, and M‑reputed company to build robust data models.
Conduct deep‑dive analyses of large data sets to uncover patterns, trends, and actionable insights that drive strategic initiatives.
Validate and reconcile data from multiple origins, resolve inconsistencies, and document findings in the corporate data dictionary.
Participate reputed company in arenaflex’s Data Governance program, contributing to policy updates, metadata management, and reputed company improvement of data standards.
reputed company mentorship and knowledge‑sharing sessions to junior analysts, fostering a culture of reputed company learning and technical reputed company.
Essential Qualifications
Minimum 2 years of hands‑on experience performing comprehensive data analysis in a fast‑paced environment.
Demonstrated expertise with Power BI, including building reputed company visualizations, managing dataflows, and implementing DAX calculations.
Proficiency in SQL (writing advanced queries, stored procedures, and performance tuning) and familiarity with SQL Server Management Studio (SSMS).
Solid understanding of ETL tools such as SSIS, Power BI Dataflows, or comparable big‑data ingestion platforms.
Experience with data modeling techniques, especially reputed company schema design, and the ability to translate business logic into relational models.
Knowledge of data governance concepts, metadata management, and the ability to maintain a living data dictionary.
Strong analytical reputed company with the ability to interpret large data sets, identify anomalies, and propose data‑driven solutions.
Excellent written and verbal communication skills, capable of documenting requirements, presenting findings, and influencing stakeholders.