K
Senior Data Analyst
Hyderabad, Telangana, India · Tempo pieno
Sii il primo a candidarti
- Esperienza
- 3+ anni
- Stipendio
- —
- Aperture
- 1
- Pubblicato
- 3 ore fa
- Modalità di lavoro
- In ufficio
- Istruzione
- Qualsiasi laureato
- Requisiti di ammissibilità
- Possono candidarsi tutti i laureati.
- 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.