Data Engineer – Retail Analytics Jobs

Bachelor’s Degree preferred, or equivalent combination of education, training, and experience

4+ years of experience as a Data Analytics Engineer, Data Engineer/Analyst or equivalent

Strong cloud experience with AWS Services such as Compute and Storage

Experience with enterprise level visualization tools like Tableau, Looker and Sisense

Knowledge of complex ETL or ELT systems that make use of database technologies such as ElasticSearch, Redis, Postgres, MySQL and DynamoDB

Excellent communication, problem-solving and presentation skills

Strong data querying skills (SQL) and some experience with a scripting language (Python or R)

Strong communication, presentation, and storytelling skills. The role requires effective communication and consultation with colleagues, stakeholders and leaders from different backgrounds

Working knowledge of & interest in A/B testing and inferential statistics (sample size determination / power analysis, hypothesis testing, regression etc.)

Experience working with varied datasets from different sources to generate business insights

Bachelor’s degree with quantitative emphasis. Statistics, Data Science, Mathematics, Operations Research, Computer Science, Economics, Marketing Analytics, or related field

Proficiency with descriptive analysis and data visualization (ggplot2, seaborn, matplotlib, Tableau, PowerPoint)

Create tickets and participate in the change control/change management discussions and processes for business unit

Proficient in Agile/Scrum software development lifecycle management

Self-motivated, independent worker who is driven to deliver results without close management

Bachelor’s degree in Computer Science/Information Systems Management or equivalent

Experience with CI/CD tools and Version Control tools like GIT

Knowledge of unit, integration, and end-to-end testing strategies

Lead and continuously improve end-to-end service delivery including strategic vendor management, operations, and product innovation.

Partner with business stakeholders, upstream infrastructure platform teams, and downstream data consumers to understand and translate business requirements into technical design

Hands-on experience with the Azure Stack including computing services and data warehouses (Azure Data Factory, Azure Databricks)

Familiarity or experience with ETL in SQL and NoSQL data stores

Familiarity or experience in coding languages like R and Python

Familiarity or experience leading IT products through the full product lifecycle from design to development to operations

Strong data querying skills (SQL) and some experience with a scripting language (Python or R)

Strong communication, presentation, and storytelling skills. The role requires effective communication and consultation with colleagues, stakeholders and leaders from different backgrounds

Working knowledge of & interest in A/B testing and inferential statistics (sample size determination / power analysis, hypothesis testing, regression etc.)

Experience working with varied datasets from different sources to generate business insights

Bachelor’s degree with quantitative emphasis. Statistics, Data Science, Mathematics, Operations Research, Computer Science, Economics, Marketing Analytics, or related field

Proficiency with descriptive analysis and data visualization (ggplot2, seaborn, matplotlib, Tableau, PowerPoint)

Lead and continuously improve end-to-end service delivery including strategic vendor management, operations, and product innovation.

Partner with business stakeholders, upstream infrastructure platform teams, and downstream data consumers to understand and translate business requirements into technical design

Hands-on experience with the Azure Stack including computing services and data warehouses (Azure Data Factory, Azure Databricks)

Familiarity or experience with ETL in SQL and NoSQL data stores

Familiarity or experience in coding languages like R and Python

Familiarity or experience leading IT products through the full product lifecycle from design to development to operations

Data management, ingesting new data, transforming/harmonizing data

Engage project teams to understand project needs/requirements and provide technical expertise with data and analytical tools.

These positions are entry-level with up to 4 years work experience

Strong leadership, business problem definition, and priority setting skills

Prior Innovation Development, or Supply Chain, or IoT or related experience

Skills in data visualization (Tableau, Power BI, or similar) and script program languages (SQL, Python/Scala, R, JAVA, C+)

Excellent benefits including strong total compensation

4+ years of experience mining and analyzing data, using it to provide strategic recommendations on analysis performed

MUST have strong SQL skills

excellent benefits including strong total compensation

Analyze existing data processes, blend data from multiple sources, proactively implement process improvements to serve the data needs of Analytic teams

Develop and maintain tools to support reporting and analytics including: data models, reporting systems, data automation systems, dashboards, and technical processes

Minimum Level of Education Required to Perform the Primary Responsibilities of this Position:

Minimum # of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position:

Skills Required to Perform the Primary Responsibilities of this Position:

Licensures/Certifications Required to Perform the Primary Responsibilities of this Position:

Physical Requirements Or Work Conditions Beyond Traditional Office Work

Join our team. Make a difference - for us and for your future.

Assist Product Managers with interpreting experiment results;

2+ years of professional experience in the field of data engineering, analytics, or software engineering;

Considerable experience with SQL using relational databases (e.g. MySQL, Vertica, Snowflake, Hive);

Experience in building and maintaining ETLs preferred;

Ability to write clean and concise code, Python experience preferred;

Experience with Airflow is a plus.

Proactively incorporating the knowledge of how Decision & Data Science solutions meet end customer needs into data preparation design and decisions

Managing new data requirements and developing solutions that minimize technical debt creation

Proven experience with Python and SQL data wrangling

Experience identifying and troubleshooting data anomalies and pipeline issues

In-depth experience with ETLing data

Become an Ibotta Data Ninja, helping us organize and optimize our data for analysis

Experience in the Oil & Gas or environmental industry is highly perferred

Experience with Spotfire, Tableau, MS PowerBI, or other similar BI platforms

Experience organizing and consolidating data from multiple different sources

Experience creating new dashboards and relevant analyses

Ability to communicate and present findings to various stakeholders

Demonstrate competence, experience, knowledge, understanding, and advocacy of data management concepts, data warehousing, BI, and analytics.

Business Intelligence tools: Microsoft tools (SQL Server Management Studio, SSRS, SSAS, Power Pivot, Power Query, PowerBI), Alteryx

Data Management and Quality: data mapping, data profiling, metadata repository, relational data modeling, master data management

Partner with internal business units to define information requirements and translate them into appropriate data solutions.

Partner with Analytics team members to translate business and functional requirements into technical designs

Support and flexibility to grow and be your best at work, at home, and in the community.

Working knowledge of data management software like Airflow, or other ETL tools a plus.

2+ years in cross-functional project management experience.

Experience in project management, Jira

Research and keep abreast of rapidly evolving data requirements, ensuring necessary system and process changes are implemented to meet these requirements.

Continuously improve SQL and python skills, helping you automate repetitive work and multiply yourself

2+ years of prior experience as Systems/Data/Product/Program Analyst.

Demonstrated experience in data management & data governance capabilities

Expert knowledge of quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.

Experience with Agile project management methods and terminology a plus

Ability to drive continuous data management quality (i.e. timeliness, completeness, accuracy) through defined and governed principles

Collaborating with data scientists and analysts to understand data requirements and ensure data accuracy, integrity, and availability.

Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.

Demonstrated ability to understand and communicate technical details with varying levels of management.

Hands-on experience with developer environment tools like Continuous Integration/Continuous Delivery (CI/CD), Azure DevOps, GitHub, and Agile Scrum

Certifications like GCIA, GSLC, GCIH, CISM, CISSP, CEH, etc. are plus.

Conduct proactive and reactive evaluation and tuning of detections to reduce noise and investigation time.

Continuous research to identify and translate data into actionable insights for faster and better response.

Develop metric dashboards and insights for SOC cases

Experience writing software in a professional environment

Strong verbal and written communication skills

Strong problem-solving skills to help refine problem statements and figure out how to solve them with the available data

Experience with data science tools such as Pandas, Numpy, R, Matlab, Octave

Experience with complex hardware systems

Experience building machine learning models in a professional environment

Manage and inspire a team of analytics professionals, providing mentorship, guidance, and support for their career growth and skill development.

Business Development and Revenue Management:

Drive innovation, identify emerging trends, and explore new analytics opportunities to enhance business offerings and drive competitive advantage.

Manage new logos/contracts/renewals, ensuring client satisfaction, profitability, and successful project delivery.

Provide strategic direction and thought leadership to the analytics team, aligning the vision and goals with overall business objectives.

Develop and execute a comprehensive analytics strategy that supports the growth and success of the retail and consumer goods industry.

Experience with Data Management (e.g., highly restricted data, consumer data) standard methodologies

Assemble large, complex data sets which meets functional and non-functional business requirements

2+ years experience with ETL in SQL and NoSQL data stores

2+ years experience in SQL and Python coding languages

Experience with a range of data engineering approaches, covering theoretical standard methodologies and the technical applications of these methods

Experience using automation best practices for CI/CD