Data Analytics Consultant

at  CocaCola

The Coca-Cola Company is looking for a hands-on Data Analytics Consultant to analyze, interpret, and document business processes, products, services, and technology. This role will support data product teams to design, build, and implement data and analytics products and solutions for various stakeholders. Will work with cross-functional teams across product, technology, and subject-matter experts to deliver projects.

QUALIFICATIONS & REQUIREMENTS:

• 2+ years of developing (hands-on) and managing data products from ingestion to operations.
• Demonstrated experience using Power BI and/or other visualization tools, Python/PySpark and working with relational SQL databases.
• Solid knowledge about what business questions can be solved with descriptive analytics and able to propose data model, visualization and E2E design (ETL, model construction and deployment) for a data analytics product using CRISP-DM methodology.
• Solid knowledge and hands-on experience to define and build a data model and ETL process to extract, transform and make data available for the product (dashboard, model, other) in a complete way with quality and with User Experience methodologies.
• Demonstrated experience in using Azure platform for Data and Analytics products specially focused in Data Services (Synapse, DynamoDB, Databricks, Glue, Data Lake, Redshift, PySpark etc.)
• Experience in Agile\DevOps project methodology.
• Ability to develop fast business acumen to understand business imperatives, to understand main KPI’s the business function is trying to measure and with this understand the required data that can be used to fill this KPI’s, with this also understand the quality and missing data.
• Communication and negotiation skills are important as will require to manage the plan, identify risks and impacts and so communicate to stakeholders within and outside the organization.
• Handles change management by understanding and planning for change required to happen to ensure implementation and adoption of new projects deployment within the domain of work.

SKILLS:

Agile Methodology; Data Analytics; Business Intelligence (BI); Data Analysis; Business Needs; Change Management Methods; Negotiation
Pay Range:Pay Range Not Available
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:0
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target

The Analyst key responsibilities are:

• Analyze business analytical requirements (e.g., functional and technical requirements, data need, business processes) by conducting information-gathering sessions with clients, analyzing the information and prioritizing the requirements to gain understanding of the business needs. Further, to have more business acumen for its domain.
• Work closely with the key stakeholders to understand their data needs and translate complex data analyzes into clear, actionable insights that support business strategies and informed decision-making.
• Coordinate and develop data analytics products (new data ingestion, data processing ETL, data enhancements, master data, data integration, data visualization, advanced analytics models). Connect business process to data product functionality under the Company platform, which is Azure.
• Develop logical data model based on business requirements to determine the completeness and quality of the information and process components (e.g., Data Flow Diagram, Entity Relationship Models).
• Engages with Data Product owners to define required data quality controls to deliver based on business requirements.
• Day to day execution of the project development and implementation, so planning skills are required to control and follow up within the team.