Technical Business Analyst

Key Responsibilities

• Lead end-to-end data analysis projects, from defining project scope and objectives to delivering final reports and presentations.
• Thrive in environments with incomplete or ambiguous data and proactively seek solutions.
• Quickly adapt to changing priorities and unexpected challenges.
• Demonstrate resourcefulness and creativity in overcoming obstacles.
• Be able to make decisions with limited information.
• Coordinate with product managers, data engineers and business leaders to understand data needs and deliver on those needs and setting expectations with Product Managers (Data product owners).
• Document and capture the use cases, business logics/rules for the assigned data domains (fan, marketing, etc) and also working with Data Analyst and Data Product Owners across domains to ensure alignment across the entire data platform.
• Gather and capture the technical specifications for the incorporation of a variety of data sources into the model and working with internal and external partners and vendor to understand and capture the integration method and pattern.
• Ensure Specifications covers various aspect of how-to integration the data including any transformations/logics required for data validation, standardizations, curations and reporting to fulfil the relevant use cases
• Work with the clients internal stakeholders to define and capture any fulfilment requirements such as outbound data deliveries, reporting and metrics.
• Prioritize to manage ad-hoc requests in parallel with ongoing sprints
• Participate with the team to execute sound solutions and approaches to meet business expectations in an efficient manner; Work with Data Engineers, Data Architects, Data Governance and QA to create and review the pipelines, data ingestion, storage, wrangling, cataloguing, quality, curation of various data sources.
• Work with the Data Product Owners to help manage and deliver on the product technical roadmap for the data platform
• Experienced with Scrum and Agile Methodologies to coordinate global delivery teams, run scrum ceremonies, manage backlog items, and handle escalations
  

Required Skill Sets

• Prior exposure to Data Ingestion and Curation work (such as working with Data Lakehouse)
• Strong understanding of data analysis/data investigation (using SQL, Excel)
• Well versed with Stakeholder management
• Work with the Data Product Owners to help manage and deliver on the product technical roadmap for the data platform
• Excellent analytical, problem-solving, and critical thinking skills
• Strong project management and organizational skills
• Excellent communication and presentation skills
  

Preferred Qualifications

• MBA / Bachelor's degree from a Tier 1 or Tier 2 business school, OR Bachelor's degree with a minimum of 5+ years of experience as a data analysis project lead
• Masters degree in computer science, statistics, or related discipline
• Comfortable making decisions and leading
• Familiar with version control and relational databases