Data Modeler and Analyst

2 weeks ago

Mumbai, Maharashtra, India Ingredion Incorporated (Corporate) Full time

At Ingredion Incorporated (Corporate), we are seeking a highly skilled Data Modeler and Analyst to join our team. The successful candidate will play a crucial role in designing, developing, and maintaining data models to support efficient data management and analytics within the organization.

Key Responsibilities:

  • Understand business requirements and translate them into data requirements.
  • Analyze existing data structures and determine gaps, if any, to meet new requirements across all ongoing initiatives.
  • Actively participate in all ongoing initiatives related to the data and analytics ecosystem, including capital projects, operational projects, and proof of concept work.
  • Profile source data by retrieving and gathering raw data from various internal and external source systems, to identify trends, patterns, and quality issues.
  • Design, optimize, and maintain conceptual, logical, and physical data models to support efficient data management and analytics within the organization.
  • Collaborate with data architect, data engineers, report developers, AI/ML engineers, and business stakeholders/executives.

Data Modeler Responsibilities:

  • Design, create, and implement logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets.
  • Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
  • Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models.
  • Create entity-relationship diagrams (ERDs), data flow diagrams, and other visualization tools to represent data models.
  • Collaborate with database administrators and software engineers to implement and maintain data models in databases, data warehouses, and data lakes.
  • Develop data modeling best practices and use these standards to identify and resolve data modeling issues and conflicts.
  • Conduct performance tuning and optimization of data models for efficient data access and retrieval.

Data Analyst Responsibilities:

  • Interprets results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis.
  • Completes the gathering and cleaning processes for data from various sources, ensuring data integrity and quality.
  • Uses statistical methods and techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights.
  • Develops and maintains dashboards, reports, and visualizations to communicate data findings effectively.
  • Identifies KPIs and develops metrics to track and measure business performance.
  • Collaborates with data engineers and IT professionals to optimize data collection, storage, and retrieval processes.
  • Monitors data quality to identify data issues and propose data cleansing or enhancement solutions.

Requirements:

  • Bachelor's degree in computer science, mathematics, or related field.
  • 7+ years of experience in data gathering, profiling, data modeling and data analysis.
  • Expert knowledge of data modeling concepts, methodologies, and best practices.
  • Proficiency in data modeling tools.
  • Familiarity with dimensional modeling and data warehousing concepts.
  • Expert level of proficiency in designing SQL queries and Python scripts.
  • Hands-on relational, dimensional, and analytical project experience using RDBMS, NoSQL data platform technologies, and ETL.
  • Robust experience with databases like SAP, Oracle, SQL Server, etc. and Big Data/Cloud platforms like Microsoft Azure, Google Big Query, Databricks, AWS, Cloudera, etc.
  • Experience with unstructured, semi-structured, and structured data.
  • Experience with Business Intelligence/Data visualization and Reporting tools such as Power BI.
  • Expert knowledge of statistical analysis techniques and concepts for both descriptive and inferential statistics.
  • Knowledge of data visualization best practices to effectively communicate insights.
  • Proficient with desktop tools (PowerPoint, Word, Excel, etc.).
  • Ability to work independently and as part of a team to successfully execute projects.
  • Ability to multitask and meet aggressive deadlines efficiently and effectively.
  • Excellent communication, presentation, and interpersonal skills.
  • Certification in Data modeling or related fields is a plus.

Relocation Available:

No

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