Data Analyst Job Openings At Phenom 2025 | Hyderabad

Data Analyst Job Openings At Phenom 2025:-

Phenom is hiring candidates for the role of ”Data Analyst” in the Hyderabad location of India. The complete details about Data Analyst Job Openings In Phenom are given below.

Company :-	Phenom
Job Role :-	Data Analyst
Location :-	Hyderabad
Salary :-	As Per Company Standards
Last Date to Apply :–	ASAP

Qualifications:

Bachelor’s degree in computer science, Information Technology, or related field

Experience Required:

Looking for “4+ years” of experience as a Data Analyst
Should be proficient in writing complex SQL queries
Preferably looking for someone from Hyderabad

Desired Skills:-

Cloud platforms: Familiarity with cloud platforms for data analysis and orchestration like Snowflake, AWS Sagemaker, AWS Lambda, Airflow, Jenkins, Postman
Machine Learning: Proficiency with fundamental machine learning algorithms such as linear regression, logistic regression, decision trees, random forests, and neural networks. Ability to use ML and statistical modeling to solve business problems.
Feature Selection and Dimensionality Reduction: Familiarity with techniques like feature selection, feature engineering, regularization, and dimensionality reduction (e.g., PCA) to improve model efficiency, reduce overfitting, and enhance interpretability.
Model Deployment: Experience in deploying machine learning models in production environments, utilizing frameworks like Flask or Django. Understanding of model serving, API development, and cloud deployment to enable real-time predictions.
Dashboarding: Familiarity with BI and dashboarding software such as Superset, Looker and Tableau.
Candidates with experience in the credit card, banking, or healthcare domains and/or strong mathematical and statistical backgrounds will be preferred.

Responsibilities:-

Use SQL to analyze, hypothesize, and solve complex business challenges, as well as to identify and visualize novel opportunities for growth.
Should be willing to work on BI tools like “Looker” and “Superset”
Perform data cleaning, transformation and validation using Excel, Python or R tools
Partner with stakeholders to define key metrics and deliver insights on performance
Design and execute A/B tests and evaluate their outcomes statistically
Communicate Findings clearly through visualizations and presentations to technical and non-technical audiences
Extract and report data using database queries with a preference for cloud experience, pipeline automation, and scalable analytics.
Ensure data integrity and accuracy by adhering to best practices in data governance and documentation
Use statistical modeling and prediction techniques to drive actionable insights.
Demonstrate curiosity and a problem-solving, research mindset.
Work independently with minimal supervision and communicate your findings to technical and non-technical audiences.

Good To Have:-

Data Manipulation: Efficiently manipulate and analyze large datasets. Strong experience in extracting and reporting data using complex queries.
Statistical Analysis: Proficiency with statistical concepts and techniques, including exploratory data analysis, hypothesis testing, confidence intervals, and experiment design. Proficiency in using statistical methods to derive meaningful conclusions from data.
Data Visualization: Proficiency in using visualization libraries like Matplotlib or Seaborn to create clear, concise, and intuitive visualizations that communicate complex data insights to stakeholders.
Model Evaluation and Validation: Proficiency in assessing model performance using metrics such as accuracy, precision, recall, F1 score, and area under the curve (AUC). Proficiency in techniques like cross-validation, train-test splits, and hyperparameter tuning to ensure robust model performance.
Communication: Strong written, verbal, and visual communication skills.