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Wissen Technology

Data Analyst

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Job Description

Wissen Technology is hiring forData Analyst

About Wissen Technology:

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don't just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

Job Summary:We are seeking a detail-oriented and analytical Data Analyst with 3–5 years of experience to transform raw data into actionable business insights. The ideal candidate will be responsible for data collection, analysis, visualization, and reporting, supporting data-driven decision-making across the organization. The role requires strong expertise in SQL, data visualization tools, and analytical thinking, along with exposure to capital markets data and trade lifecycle processes.

Experience: 3- 15 Years
Location:Hyderabad
Mode of Work: Hybrid

Key Responsibilities:

  • Collect, clean, validate, and manage data from multiple sources.
  • Analyze large datasets to identify trends, patterns, and actionable insights.
  • Create and maintain dashboards, reports, and visualizations for business users.
  • Work closely with stakeholders to understand data requirements and business needs.
  • Support data-driven decision-making across business and functional teams.
  • Ensure data accuracy, consistency, and integrity across systems.
  • Document data definitions, KPIs, metrics, and analytical processes.
  • Provide analytical support to front office, middle office, and risk teams.
  • Analyze and understand the trade lifecycle from trade capture to settlement.

Required Skills and Qualification

  • 3–5 years of experience in data analysis or related roles.
  • Strong proficiency in SQL and Excel.
  • Experience with data visualization tools like Power BI, Tableau, or similar.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Ability to communicate insights clearly to non-technical stakeholders.
  • Attention to detail and strong organizational skills.
  • Understanding of data analysis and reporting best practices.

Good to have Skills

  • Experience with Python or R for data analysis.
  • Knowledge of statistical analysis and data modeling concepts.
  • Experience working with large datasets or cloud data platforms.
  • Exposure to Capital Markets domain (Equities, Fixed Income, Derivatives, FX, Commodities).
  • Familiarity with trade lifecycle processes and financial systems.
  • Understanding of BI tools and reporting frameworks.

Wissen Sites:

Website: www.wissen.com

LinkedIn: https://www.linkedin.com/company/wissen-technology

Wissen Leadership: https://www.wissen.com/company/leadership-team/

Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All

Wissen Thought Leadership: https://www.wissen.com/articles/


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About Company

Job ID: 147870759

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