Ab>initio, Big Data, Informatica, Tableau, Data Architect, Cognos, Microstrategy, Healther Business Analysts, Cloud etc.

Job Overview:

• JD of DATA ANALYST:



• Strong proficiency in Python programming.
• Preferred knowledge of cloud technologies, especially in Google Cloud Platform (GCP).
• Experience with visualization tools such as Grafana, PowerBI, and Tableau.
• Good to have knowledge of AI/ML models.
• Must have extensive knowledge in Python analytics, particularly in exploratory data analysis (EDA).

Senior Data Scientist-Job Description

The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions.  She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.

Key Responsibilities:

• Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
• Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
• Generate clearly understood and intuitive data science / advanced analytics outputs.
• Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
• Participate in best practice sharing and communication platform for advancement of the data science discipline.
• Coach and collaborate with other data scientists and data analysts.
• Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
• Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.

Qualification:

• Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
• 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
• Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
• Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
• Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
• Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
• Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
• Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
• Strong written and verbal communications skills, as well as presentation skills.

• As a Manager- Business Analysis- you would be working on key problem statements to achieve given business objectives.
• As a Manager- Analyst, you will build the framework for the company’s top metrics related to sales, conversion funnels, inventory related, customer experience metrics and other input/output parameters, seller/ brand-related metrics to monitor business performance.
• Work with internal clients and provide timely solutions to both new initiatives and business as usual requests.
• Ability to conceptualize the best metrics for various problem statements to help business stakeholders achieve their objectives.

Must Haves:

• 2 to 4 years of experience in analytics.
• Should be great at SQL and Excel.
• Should be conversant with R or Python.
• Should have experience in analytics tools such as Tableau, QlikSense, PowerBI, Periscope.
• A First-principles thinker Has the ability to get to the root of problems and come up with logical, practical, and effective solutions.
• Excellent communication skills: written and verbal.

Nice To Have:

• Prior experience in the e-commerce industry.
• Experience in modeling and ML for various e-commerce use cases such as building recommendation models.
• A good understanding of databases and servers.

Key Competencies:

• Business Acumen
• Organizational collaboration
• Learning Agility
• Drive for results
• Execution excellence

• Must Have 3-4 Experience in SSIS, Mysql
• Good Experience in Tableau
• Experience in SQL Server.
• 1+ year of Experience in Tableau
• Knowledge of ETL Tool
• Knowledge of Dataware Housing