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K

Senior Data Analyst

Keka Technologies

Hyderabad, Telangana, India · Tempo pieno

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Esperienza
3+ anni
Stipendio
Aperture
1
Pubblicato
3 ore fa
Modalità di lavoro
In ufficio
Istruzione
Qualsiasi laureato
Requisiti di ammissibilità
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Riprendere
È necessario candidarsi

Dove lavorerai

Descrizione del lavoro

About the Company

Keka Technologies has evolved over the past decade into India's leading employee-centric HR platform, serving more than 13,000 businesses globally. Renowned for its culture of ownership, openness, and continuous learning, the company recently secured a record $57 million Series A funding round in November 2022, reinforcing its growth and innovation in the SaaS space.

Role and Responsibilities

  • Gather, arrange, and maintain extensive datasets from diverse sources ensuring accuracy and completeness.
  • Establish and enforce data quality protocols to uphold consistency.
  • Utilize SQL, advanced Excel functions such as VLOOKUP and Pivot Tables to analyze operations data effectively.
  • Produce both routine and on-demand reports emphasizing key performance indicators, emerging patterns, and actionable insights.
  • Design and develop dynamic, interactive dashboards using Power BI and Excel tailored to different departments' needs.
  • Regularly update dashboards to provide the latest data perspectives.
  • Work collaboratively with multiple teams to refine data collection and reporting workflows.
  • Detect inefficiencies in current processes and suggest improvements.
  • Deploy automation tools to heighten efficiency and accuracy in data management and report generation.

Candidate Profile and Requirements

  • Bachelor’s degree in Business, Data Analytics, Information Systems, or a related discipline, or equivalent experience.
  • Minimum of three years’ professional experience as an analyst.
  • Strong command of data analysis tools including advanced Excel, SQL, and visualization tools like Tableau or Power BI.
  • Fundamental knowledge of data platforms and ETL methodologies.
  • Skilled in interpreting complex datasets with meticulous attention to detail.
  • Experience working with CRM systems and sales automation software.

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