Data Analyst

Responsibilities Include:

• Work collaboratively with stakeholders, business partners, product, and delivery teams to prioritize business and data needs.
• Performing data analysis to assess quality and meaning of data, and interpret trends or patterns in complex data sets, perform necessary data validations.
• Have hands on ability to deep dive into the data ecosystem and perform investigative and analytical operations.
• Document the source to target mapping rules, data observations and business requirements in Confluence and/or Jira.
• Guide the engineering team to implement and validate the data aspects of the projects.
• Make functional and business sense from the data observations and present them back to all levels of stakeholders.
• Act as a conduit between Business teams, Data Engineering team and Project Management function.
• Carry out investigative and exploratory data analysis aligned to project and business goals.
• Understanding of reference data elements within data sets, responsible for establishing appreciation and adherence to the principles of data quality management, including metadata, lineage, and business definitions
• Proactively identify gaps in data (quality, integrity) and support with data access governance
• Deliver in a fast-paced Agile project methodology
• Locate and define new process improvement and automation opportunities
• Provide relational database expertise to construct and execute SQL queries to be used in data analysis activities
• Work in a global cross matrixed environment across multiple time zones with remote business users
• Work with multiple business teams and stakeholders in parallel

Qualifications

• A proactive self-organized partner who can prioritize work and deliver the right service to stakeholders
• Passion for data analytics and ability to derive complex insights
• Proven experience with data discovery across all stages - collection, cleaning, preparation, sharing and insights.
• Strong knowledge of and experience with MS Excel and pivot tables, SQL, ETL/ELTs and data analysis skills
• Knowledge of using Postman tool and API's
• Prior experience with Data visualization e.g., Power BI, Looker, Domo
• Technical proficiency regarding database design development, relational/non-structured data models. Should have working knowledge of AWS Redshift, PostgreSQL
• Customer data platform experience is a definite plus
• Experience working with JIRA is a must have
• Familiarity with Confluence and Service Now
• Understanding of digital marketing and media techniques
• Self-organized to prioritize work and deliver the right service to stakeholders

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