Table of Contents
Adani Group Recruitment 2024 Details :
Adani Group Jobs Drive 2024 Eligibility Criteria :
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Description
- Interpret and communicate data findings to non-technical stakeholders.
- Create reports, presentations, and data-driven recommendations.
- Monitor data quality and implement data governance best practices.
- Collaborate with data engineers and data scientists to ensure data integrity.
- Work with relational databases (SQL) to query and manipulate data.
- Assist in database design and maintenance.
- Stay up to date with industry trends, data analysis techniques, and tools.
- Continuously improve skills in data analysis, statistical methods, and programming languages (e.g., Python, R).
- Maintain and re-engineer existing ETLs to increase data accuracy, data stability, and pipeline performance.
- Create data visualizations and dashboards to communicate findings effectively.
- Build and maintain predictive or descriptive models to support decision-making.
- Leverage tools such as regression analysis, clustering, and ML techniques and algorithms as needed.
Responsibilities
- Collect and compile data from various data sources and not limited to databases, spreadsheets, surveys, and external datasets.
- Ensures data accuracy, completeness, and consistency.
- Clean, preprocess, and transform raw data into a usable format.
- Handle missing data and outliers appropriately.
- Apply statistical and analytical techniques to extract insights from data.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
Qualifications
- Working experience on Python, R Programming, Scala, Apache Spark, Google Big Query
- Mandatory working experience in Power BI, Google 360. Knowledge in analytics tools like Tableau, Excel VBA Macros, RSPSS, SAS is an added advantage.
- Proven working experience as a data analyst or business data analyst. Experience in working on Business intelligence tools/platforms and systems.
- Strong knowledge in data pre-processing and EDA by using various tools. Thorough in analytics/visualization tool setup, configuration and administration.
- Having knowledge of classification (Random Forest, SVM, Boosting and Bagging techniques) and clustering algorithms is desirable
- Hands on in Descriptive/Predictive/Prescriptive Analytical techniques. Ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Results driven with strong analytical, critical thinking and numeric skills. Convey data story through the visualization. Ability to dissect complex problems and extract meaningful insights from data.
- A team player capable of working and integrating across cross-functional team for implementing project requirements. Experience in technical requirements gathering and documentation.
- Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
- A flexible, pragmatic and collaborative team player with innate ability to engage with stakeholders at all levels in the organization.
- Attention to detail is crucial for data cleaning and ensuring data accuracy.
- Capability to solve real-world business problems using data-driven approaches.
- Awareness of data ethics and privacy regulations (e.g., DPDP, IT Act 2000) when handling sensitive data.
- 2-5 years of experience.
- Bachelors or Masters Degree in Analytics
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