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के

Senior Data Analyst

Keka Technologies

Hyderabad, Telangana, India · पूरा समय

अप्लाय करने वाले प्रथम बनिए

अनुभव
3+ वर्ष
वेतन
उद्घाटन
1
की तैनाती
5 पहले
कार्य मोड
कार्यालय में हूँ
शिक्षा
कोई भी स्नातक
पात्रता
Any graduate can apply.
फिर शुरू करना
आवेदन करना आवश्यक है

आप कहाँ काम करेंगे

नौकरी का विवरण

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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