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Straive - Analytics Consultant - Data Visualization Tools

Straive - Analytics Consultant - Data Visualization Tools

SPI TECHNOLOGIES INDIA PRIVATE LIMITEDBangalore
14 days ago
Job description

About the job

Role- Analytics Consultant

Location- Bangalore / Gurgaon(Hybrid)

We are looking for a Consultant Data Analytics who can blend data analysis, statistical modeling, and visualization to solve real-world business problems.

The role requires strong skills in Python, SQL, and visualization tools with the ability to explore datasets, test hypotheses, and generate actionable insights that guide decision-making.

Key Responsibilities :

  • Partner with stakeholders to understand business challenges and define analytical approaches.
  • Perform exploratory data analysis (EDA) to identify trends, outliers, and relationships in data.
  • Apply statistical techniques (hypothesis testing, correlation, regression, clustering) to validate insights.
  • Build, test, and validate predictive and prescriptive models using Python and ML frameworks.
  • Develop dashboards and visualizations to communicate complex findings clearly to business and technical teams.
  • Translate analytical outcomes into compelling stories and actionable recommendations.
  • Continuously explore new methods, algorithms, and tools to enhance analytics capabilities.

Must-Have Skills :

  • Strong proficiency in Python (pandas, NumPy, scikit-learn, statsmodels, matplotlib / seaborn).
  • Solid grounding in data analysis and statistical methods (descriptive analytics, hypothesis testing, regression, clustering).
  • Proficiency in SQL for querying and analyzing large datasets.
  • Hands-on experience with visualization tools (Tableau, Power BI, or similar).
  • Strong ability to translate data into insights and communicate them effectively.
  • Problem-solving orientation with attention to detail.
  • Minimum of 2 years experience dealing with analytics projects and in depth data analysis
  • Good-to-Have Skills :

  • Exposure to time-series forecasting, NLP, or optimization techniques.
  • Familiarity with cloud analytics platforms (AWS, Azure, GCP).
  • Understanding of big data tools (Spark, Hadoop).
  • Education :

  • Bachelors or Masters in Data Science, Statistics, Computer Science, Engineering, or related fields
  • (ref : hirist.tech)

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