Data Analytics Specialist
6 days ago
We are seeking a highly skilled Data Analytics Specialist to join our team at KZenEdge Strategic Program Execution. As a key member of our organization, you will be responsible for orchestrating and implementing robust ETL pipelines for various data product builds.
Key Responsibilities- Lead or be part of a team responsible for extracting knowledge from data by applying various techniques and theories, including machine learning, computer programming, statistics, data engineering, pattern recognition, and learning.
- Design, orchestrate, and develop high-performance and robust ETL pipelines leveraging cloud native tools.
- Integrate DevOps practices into the development workflow using CI/CD best practices.
- Build and optimize data warehouses, data lakes, ensuring efficient storage and retrieval systems for analytical needs.
- Provide expertise in data modeling (star or snowflake schema) to enhance data flow and query performance, supporting Data Product Delivery.
- Hands-on experience with building and managing data products, from initial concept through to deployment, while ensuring alignment with business objectives and user requirements.
- Understanding of Data Product Marketplace and its key Data Governance components, including Data Quality, Metadata, Data Lineage, Accessibility, and Standardization.
- Demonstrate a strong commitment to Data Security and Compliance to protect sensitive information and enforce data governance in enterprise platforms.
- Work across a myriad of technology stacks in Azure, Cloudera, Snowflake, PowerBI, etc.
- Experience with Python and SQL in the context of building data pipelines.
- Experience working with Big Data technologies.
- Experience in Data Analytics.
- Design and create dashboards and custom reporting with various data sources and inputs.
- Apply skills to provide insights, support decision-making, and facilitate strategic business planning across the department.
- Provide executives and decision-makers with a deeper understanding of their operations, transactions, services, and information required for them to identify new opportunities that can only be uncovered through analytics.
- Provide depth and insight to data produced by various teams and transform them into meaningful analytics for decision-making.
- Ensure delivery processes are robust, of high quality, and repeatable.
- Provide strategic agility and the ability to make sense of large amounts of disparate data to tell a cohesive story focused on key strategic decision-making for executives.
- Integrate both quantitative and qualitative data to create business insights.
- Analyze data and prepare information results.
- Gather and document client requirements.
- Design and construct information products.
- Capture business and technical metadata for information products.
- Establish and operate control processes, including schedule management, status reporting, issues, risk, and change management at the program level.
- Escalate issues and risks, as appropriate.
- Work within a multi-vendor/staff environment.
- University graduation in Computing Science (CS), Information Technology (IT), Engineering (ENG), Management Information Systems (MIS), or related discipline, and 6 years of progressive related experience, or
- 2-year diploma in CS, IT, ENG, MIS, or related discipline, and 8 years of progressive related experience, or
- 1-year certificate in CS, IT, ENG, MIS, or related discipline, and 9 years of progressive related experience, or
- 10 years of progressive related experience.
- 3 years of experience building high-performance, scalable, and robust ETL pipelines in distributed clusters.
- 3 years of experience in creating Microsoft-SQL database solutions.
- 5 years of experience with projects that involved data science, data engineering, and/or AI.
- 3 years of experience integrating DevOps practices into the development workflow using CI/CD best practices.
- 5 years of experience using analytical and problem-solving skills to plan and design creative solutions.
- 4 years of experience with dimensional modeling techniques.
- 3 years of experience with Python development.
- 4 years of experience with relational database modeling techniques.
- 4 years of experience working in a data warehouse/business intelligence or relevant data environment in either a development or support role.
- Ability to manage stress and conflict.
- Excellent verbal and written communication skills and the ability to interact professionally with a diverse group.
- The ability to establish and maintain effective working relationships with team members, management, and vendors.
- The ability to learn quickly, problem solve/troubleshoot, work independently, and in a team.
- Direct, hands-on experience with design and implementation of data security, data privacy, policies, data de-identification/anonymization, data audits/reviews, synthetic data.
- 5 years of experience in Agile project methodology.
- 4 years of experience in building analytical and quantitative analysis models.
- 5 years of experience in understanding complex business questions and framing the right analytical question to solve a business problem.
- 5 years of experience using Hadoop, Microsoft SQL, and unstructured data. Must have background with unstructured data, in the form of social media, video feeds, or audio.
- 4 years of experience with projects spanning multiple technical environments.
- 4 years of experience working across both business and technology.
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