Data Analyst / Data Scientist

Job description

Data Analyst / Data Scientist

Job Description

 

SAP Position Title: Data Analyst / Data Scientist

Job Location- Electronic City- Phase 1  - Bangalore 

SCOPE OF RESPONSIBILITY :

 

The candidate will be a critical resource using multiple Analytical tools and techniques for identifying and solving business problems and to develop standardized methodologies aimed at improving ROI.

 

PURPOSE OF THE POSITION

The Data Analyst / Scientist is responsible for working on various projects which in turn supports the company’s goals and strategy.

 

RESPONSIBILITIES

 

·  Solving Business problems using multiple Analytical tools and techniques.
·  Analyze reports to identify operational issues and determine root-cause.
·  Hands on experience in building and implementing advanced statistical analysis, machine learning and data mining algorithms.
·  Effectively communicate analysis results to business using strong verbal and written communication skills.
·  Implement and maintain business solutions and recommendations to improve performance.
·  Work with our stakeholders to understand their priorities, questions, needs, and requests.
·  Conduct ad hoc analysis to support regional / Global business needs. 
·  Integrate tools and processes to enhance global and regional efficiency through training and communication.
·  Ensure the accuracy of reports by enforcing processes, usingregional knowledge, and data entry when required.
·  Develops methods and strategies for assessing large amounts of data.
·  Ability to co-ordinate and manage simultaneous data analysis requests from multiple sources.
·  Generate ad hoc reporting and analysis for the Business and Management.

 

Education:

·  Bachelor’s Degree in Computer Science/Statistics, BE, B.Tech. - Computers
·  PGDM/MBA in Business Analytics from reputed institution is an added advantage.

 

Experience:

·  Four to five years of functional experience required, preferably in industry and/or consulting analytics role.

 

Technical Skills:                                                                                                        

·  Programming – R, Python, SQL, PySpark
·  Data Visualization – Tableau.
·  Knowledge on Stats and Math.
·  Additional requirement – Java script, CSS

 

Required Skills:

 

In addition to analytical and quantitative skills, a successful candidate will have the following qualities:  

·  Implement data-driven solutions based on advanced ML and optimization algorithms to address business problems.
·  Partner with data engineering teams to build scalable, efficient, automated ML-based pipelines (training /evaluation /monitoring).
·  Deploy, maintain, and debug ML/decision models in production environment.
·  Analyze and assess data to ensure high data quality and correctness of downstream processes.
·  Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algorithms, graphical models, etc.), statistical tests/metrics, experiment design, and evaluation methodologies.
·  Hands-on experience in at least one of the following: (a) Anomaly Detection, (b) Time Series Analysis, (c) Product Clustering, (d) Demand Forecasting, (e) Intertemporal Optimization.
·  Good programming skills (fluent in R/Python/SQL) with experience of using common ML toolkits (e.g., sklearn, tensor flow, keras, nltk) to build models for real world problems.
·  Should know how to build a framework to collect and then analyze the data.
·  Understand and translate stakeholder’s business needs into analytical project design and data-driven insights.
·  Lead communications with stakeholders to identify data sources and specify detailed data requests.
·  Impeccable and concise communication and presentation skills, both verbal and written.
·  Write, review, and present final reports to all levels of management, both technical and non-technical audiences to summarize analytic projects and make analytical recommendations.
·  Ability to work effectively in a cross-functional organization and multi-task in a fast-paced environment.
·  Strong interpersonal skills to enable adoption and encouragement of reports and intelligence.
·  Attention to detail.
·  Ability to identify and tackle the right questions that align with the business and maximize impact.
·  Handling Unstructured   Data.
·  Infinitely curiosity and a passion to learn. 
·  Desire to help build a data-driven culture with an unwavering focus on precise communication
·  Welcome and look forward to iterative feedback.
·  Ability to work both independently and cooperatively in a fast-paced environment.
·  Self-motivated with a high degree of integrity, honesty and ethics.

 

 

Job Requisition ID: 199634

Location: Bangalore SBS

Career Level: C - Professional (1-3 years)

Working time model: full-time

US Disclosure
The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law.  This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

North America Disclosure
The Company is committed to accessibility in its workplaces, including during the job application process. Applicants who may require accommodation during the application process should speak with our HR Services team at 855 444 5678 from 8:00am to 5:30pm ET Monday through Friday.

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