OneMagnify Hiring Drive 2024: OneMagnify Hiring Drive 2024 for its Data Analyst. OneMagnify Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a University or college degree in Computer Science, Mathematics, Engineering, Statistics, or a related field of study. if you are interested, please apply as soon as possible.
Company Name: OneMagnify
Role: Data Analyst
Location: Chennai
Experience: 2+ years
Qualification: University or college degree in Computer Science, Mathematics, Engineering, Statistics, or related field of study
Batch: Any
Job Type: Full Time
Salary: 13.5 LPA (Expected)
OneMagnify Hiring Drive 2024
Job Description:
- We are looking for Data Analysts with deep experience translating business requirements into technical data specifications, manipulating large datasets, and supporting various data initiatives for our client.
- OneMagnify is a global performance marketing organization working at the intersection of brand marketing, technology, and analytics.
- The Company’s core offerings accelerate business, amplify real-time results, and help set their clients apart from their competitors.
- OneMagnify partners with clients to design, implement and manage marketing and brand strategies using analytical and predictive data models that provide valuable customer insights to drive higher levels of sales conversion.
- OneMagnify’s commitment to employee growth and development extends far beyond typical approaches.
- We take great pride in fostering an environment where each of our 700+ colleagues can thrive and achieve their personal best.
- OneMagnify has been recognized as a Top Workplace, Best Workplace and Cool Workplace in the United States for 10 consecutive years and recently was recognized as a Top Workplace in India.
- We are looking for Data Analysts with deep experience translating business requirements into technical data specifications, manipulating large datasets, and supporting various data initiatives for our client.
- Our Data Analysts will help design and support a set of data services and capabilities for our client’s customers.
- They will work directly with the client’s business partners and their Data Engineering and Analytics team to understand the business meaning of data, and provide analysis and requirements so that data design is fully understood and the data service initiatives are in line with intended design and standards.
- Resourceful and relentless: independently capable of seeking information, corralling resources, and delivering results in challenging situations
- Collaboration and Teamwork: works with others to deliver results, contributing to the team and prioritizing group needs over individual needs
- Problem Solving: uses an organized and logical approach to find solutions to complex problems.
- Looks beyond the obvious to uncover the root cause of problems
Open Communication: - clearly conveys thoughts, both written and verbally, listening attentively and asking questions for clarification and understanding
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Requirements:
- University or college degree in Computer Science, Mathematics, Engineering, Statistics, or related field of study.
- 2+ years of relevant experience gathering and documenting requirements as well as technical specifications for data solutions.
- Advanced SQL scripting skills. Python knowledge is plus.
- Experience with AWS platform and tools associated with analytics and data (S3, Redshift, Glue).
- Understanding of Snowflake platform a plus.
- Understanding of data governance and metadata management (standards, format, definition, structure, tagging, transmission, manipulation, use and management of data). Understanding of Monte Carlo and Atlan.
Responsibility:
- Leverage data tools and capabilities to deliver superior service to client’s customers and to advance the Data & Analytics Road Map.
- Conduct discovery and end-to-end data analysis to understand customer needs and to help develop plans and activities to improve data quality.
- Elicit, analyze, interpret business and data requirements to develop complete data product solutions, includes review data models (entity relationship diagrams, dimensional data models), ETL and business rules, data management, governance, lineage, metadata and reporting elements.
- Manipulate large data sets using SQL to understand patterns in the data.
- Perform data profiling using various tools to learn the shape of the data to help inform
- data quality checks and/or curation rules that need to be developed.
- Support customers in interpreting data and remediating issues when required.
- Engage with data owners, stewards to implement, maintain, enhance data governance, quality, security and privacy requirements, and related policies and standards.
- Prepare technical specifications for data ingestion and transformation rules.
- Partner with data architects to build data models for efficient consumption of data.
- Support the development of standards and best practices within the Data Analysis team, this includes documentation templates and agile development methodologies.
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