Analytics Engineer - Datalake

Job Summary

The Analytics Engineer for Data Lake will serve as a key figure in the Data Engineering team, focused on ensuring the efficient operation and evolution of data lake environments. This role involves designing, implementing, and managing scalable data storage solutions, optimizing data flows, and ensuring high-quality data ingestion and processing. The Analytics Engineer will also play a crucial role in developing and maintaining data models, enforcing data governance practices, and supporting analytics and data science teams by providing accessible, reliable data. Collaboration with other engineers, stakeholders, and customers to align data strategies and outcomes is essential. Additionally, this position requires a commitment to innovation, continuous improvement, and adherence to best practices in data management and analytics.

This position is required to report to the SHI Austin, TX or Somerset, NJ office location as determined by SHI management.

About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $14 billion global provider of IT solutions and services.

Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 6,000 of them. If you join our team, you’ll enjoy:

Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.

Continuous professional growth and leadership opportunities.

Health, wellness, and financial benefits to offer peace of mind to you and your family.

World-class facilities and the technology you need to thrive – in our offices or yours.

Responsibilities

Include but not limited to:

Develop and maintain Data Stack around Cloud Data Warehouse including layers for ingestion, transformation, storage, and BI/reporting

Build and deploy dashboards and reporting to monitor important indicators for decision making around enterprise technology needs and emerging technology solutions

Developing and maintaining metadata management practices

Integrate datasets across disparate sources, transform and model raw inputs into a form suitable for analysis

Generate reports from multiple databases/data sets merging into spreadsheets and/or database

Analyze, interpret, format, and summarize data for management review

Automating data ingestion and integration processes

Implementing data quality checks and balances

Monitoring performance and tuning query executions

Providing technical support to analytics and data science teams

Collaborating with stakeholders to understand their data needs

Qualifications

Bachelor's degree in quantitative discipline (Mathematics, Statistics, Computer Science, Economics, Engineering etc.) or equivalent work experience

2+ years of experience of working with statistical models for summarization and inference

2+ years of experience with:

SQL Relational Database Management

Scientific programming in Python or C#

BI Reporting and dashboards in PowerBI, Tableau, Shiny, Dash, Metabase, Superset or equivalent BI tool

Data manipulation and visualization libraries (tidyverse, pandas, ggplot, matplotlib, etc.)

Microsoft Excel

2+ years of Scrum, SAFe, or Kanban agile frameworks preferred

Required Skills

Database management and reporting skills

Strong written and verbal communication skills

Strong problem solving, organizational, and time management skills

Ability to multitask and complete tasks with efficiency and accuracy

Ability to follow direction while working individually and in a team environment

Analytical mindset to interpret, format, and summarize data for management review

Proficient in managing and prioritizing multiple project tasks effectively, while working independently and in a team-oriented environment

Ability to accept, understand, and learn from management feedback

Strong analytical skills

Ability to work effectively within all levels of an organization, both internally and externally

Additional Information

The estimated annual pay range for this position is $90,000 - $140,000 which includes a base salary. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.

Equal Employment Opportunity – M/F/Disability/Protected Veteran Status

Regular Full-Time