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T

Data Analyst with Advanced SQL and Google Sheets Expertise

Tata Consultancy Services

India · Tempo pieno

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Esperienza
6+ anni
Stipendio
Aperture
1
Pubblicato
7 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
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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.

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