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Data Analyst with Advanced SQL and Google Sheets Expertise
India · Tempo pieno
Sii il primo a candidarti
- Esperienza
- 6+ anni
- Stipendio
- —
- Aperture
- 1
- Pubblicato
- 2 ore fa
- Modalità di lavoro
- In ufficio
- Istruzione
- Qualsiasi laureato
- Requisiti di ammissibilità
- Individuals who have completed any graduation are eligible to apply for this position.
- Riprendere
- È necessario candidarsi
Dove lavorerai
Descrizione del lavoro
About the Company
Tata Consultancy Services (TCS) is a premier global IT service provider, consulting firm, and business solution leader. As a key component of the Tata Group, it is recognized for driving digital transformation, fostering innovation, and delivering engineering excellence along with superior client service. Operating across 46 countries, TCS holds a significant position in the IT services sector.
Role Overview and Responsibilities
- Utilize your proficiency in Google Sheets and SQL/PLX scripting to extract and manipulate database information for analytical purposes.
- Apply intermediate-level expertise with SQL window functions including RANK, DENSE_RANK, LAG, and LEAD to enhance data analysis quality.
- Leverage Looker and LookML tools to access and make use of existing dashboards for rapid data retrieval and reporting.
- Use knowledge of YAML to decipher the data source logic within tables, ensuring accurate data extraction and alignment with analysis requirements.
- Maintain an intermediate grasp of sales lifecycle and various go-to-market (GTM) strategies, enabling effective data correlation with sales insights.
- Focus primarily on data retrieval and analysis rather than end-user dashboard creation or visualization using platforms such as Power BI, Tableau, or Looker.
Candidate Requirements and Eligibility
- Minimum of 6 years of professional experience as a Data Analyst or in a related field.
- Graduates from any discipline are eligible to apply.
- Strong command over SQL, Google Sheets, and intermediate capabilities in Looker/LookML.
- Relevant understanding of sales processes and data lifecycle for enhanced insight generation.