Job Title

Commercial Data Analytics Engineer

Position Overview

Analytics Engineers are multidiscipline individuals whose skills sit at an intersection of Business Teams, Data Analytics, Data Science, and Data Engineering. They are responsible for bringing robust, efficient, and integrated data models and analytic solutions to life. Analytics Engineers possess a high level of business acumen, as well as technical mastery, can speak in business terms, and are able to translate data insights and analysis needs into analytic models. Analytics Engineers thrive at being able to blend business acumen with technical expertise and transition between business strategy and data development. Analytics Engineers partner closely in a highly collaborative environment working with divisional & departmental leaders across Shaw’s Commercial Sales and Marketing as well as Shaw’s Enterprise IT Team to provide data driven analytical solutions which lead to business value, decision enablement, and behavior-based outcomes. This position will be a part of the Commercial Business Intelligence team, which resides within the Commercial Strategy and Insights group.

Responsibilities:

Collaboration & Business Partnership

Collaborate, consult, & lead discussions with business leaders, analysts, & engineers to collect business requirements, define successful analytic outcomes, and design supporting data models.

Partner closely with Business Leads to consult on Advanced Analytic capabilities and provide innovative approaches towards analytic solutions.

Partner with Shaw’s Enterprise IT organization to ensure data governance standards are met.

Display a genuine interest in developing business acumen and understanding of key business drivers that are used in the development of analytic solutions.

Be able to travel locally among Shaw facilities to train on the systems and information by presenting in front of groups of sales or marketing; or to travel to conferences.

Engineering & Development

Manipulate and maintain ETL workflows in Alteryx

Work closely with Data Engineering to build and maintain complex databases and streamline processes to ensure data is cleaner earlier in the data integration flow process.

Model, develop, design, optimize, and maintain production-level reporting & analytic solutions using tools such as Tableau, SQL, & Python to enable data mining & analytic capabilities.

Design, develop, optimize, and maintain data architectures using advanced SQL query or Python scripting methods (within dataflows or views in Databricks).

Apply machine learning principles, development process, and implementation within applicable business requirements on Power Platform or Databricks.

Conduct data cleansing and validation exercises to ensure the quality of data and analytic results.

Governance, Best Practices, & Mentorship

Develop, implement, and champion data & analytical development best practices to ensure data accuracy and trust in analytical solutions.

Conduct data code reviews with other team members and offer constructive guidance on solution development.

Provides mentorship to help team members grow their technical and business capabilities.

Continually learn about Data Visualization, Machine Learning, Data Science, AI, Statistics, and other Advanced Analytics concepts.

Be able to work with confidential data and safeguard as appropriate.

Qualifications:

Technical Skills & Experience

4 Year Degree in Business Analytics, Mathematics, Statistics, Computer Science, or a related field.

Flexible work environment with remote days. Must be living in Atlanta, Northwest Georgia or Greater Chattanooga Area.

Experience with ETL tools, specifically Alteryx

Experience providing data engineering, data visualizations, and/or implementing descriptive, predictive, and prescriptive analytics solutions.

Strong Python, ETL, and Database knowledge.

Advanced skills in SQL, both for querying and creating database objects.

Experience with data visualization tools, such as PowerBI or Tableau.

Demonstrated proficiency with data system design, databases, schemas, data marts, aggregates, and views.

Experience creating data pipelines in support of near real-time event stream processing.

Understands overall Enterprise Data Architecture and demonstrates the ability to model complex data structures logically and physically to support analytical requirements.

Experience with Data Science tools such as R or Python.

Experience with Data Lakes and tools such as Databricks.

Understands the full lifecycle of analytic projects and DataOps concepts.

Soft Skills & Project Leadership

Strong ability to collaborate in a cross-functional environment with IT and various business users.

Demonstrated experience leading multiple analytics projects from beginning to operationalization.

Proven track record of independent thinking and innovative approaches to problem-solving.

Ability to navigate ambiguity and quickly gain and apply understanding of business concepts to analytical solutions.

Strong customer service orientation.

Experience introducing a new tool or technique to a multi-person team, leading to measurable productivity improvement.

Excellent written, oral, and presentation skills.

Ability to present ideas in a meaningful, business-minded way, to diverse audiences.

Demonstrated ability to manage concurrent initiatives.

Experience working in a team-oriented, collaborative environment.

Required Competencies:

Learn Continuously

Build Trusting Relationships

Coach & Support

Innovate

Demonstrate Strategic Influence

Shaw benefits include: 

Medical, dental, and vision insurance 

Life insurance and disability coverage 

Tuition reimbursement 

Employee assistance program 

Health savings account 

Paid Time Off 

Parental Leave 

401K and Retirement Plans 

Product discounts for employees 

Adoption assistance 

Shaw Family Health Center (Dalton, GA, and Cartersville, GA, locations) 

Work Shift

8 Hr non-rotating shift, Hrs fall to in punch day, Observed Calendar, shift starts AM

Shaw Industries is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, gender identity, religion, sexual orientation, national origin, disability, genetic information, pregnancy, protected veteran status, or any other protected characteristic as outlined by federal, state, or local laws.