Senior Data Analyst

HDR•Charleston, WV

11h

About The Position

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story:' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Senior Data Analyst, we'll count on you to:

Requirements

A degree in a closely related field or combination of education and relevant experience
A minimum of 5 years experience with data engineering tools and languages such as SQL, Power Query, and Pandas
A minimum of 5 years experience with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib
A minimum of 5 years experience with data science languages such as Python and R
Self-motivated, detail-oriented professional, ability to multitask a must
Proficiency with MS Office including Word and Outlook
Ability to handle confidential information
Excellent writing and people skills
Strong math and organizational skills
Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment
Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills
An attitude and commitment to being an active participant of our employee-owned culture is a must
In-depth knowledge of machine learning algorithms, statistical models, and data analytics
Experience leading multiple complex data science projects
Experience leading and mentoring junior data scientists
Experience setting the strategic direction of data management, data science practices and technology planning

Nice To Haves

ESRI ArcGIS desktop, ArcGIS Pro, ArcGIS Online (AGOL) experience
FME or other ETL tool experience
Oracle Spatial or SQL Server Spatial back-end data processing experience
Web-based application development
Relational database management experience
Artificial Intelligence / Machine Learning experience
Remote sensing and/or computer vision experience
Asset Management experience
Data & Cloud Platforms: Snowflake, AWS
SCADA /OT Systems: Cygnet, FlowCal, Enertia, Field Data Capture (FDC) tools
Knowledge of NIST cybersecurity framework, MITRE ATT&CK, and data governance best practices

Responsibilities

Handle highly sensitive and confidential information with professionalism and discretion
Collaborate with stakeholders to improve business decisions by identifying patterns and trends in data
Develop data products including reports, visualizations, and dashboards
Adhere to software and data science development standards
Perform data acquisition, sourcing, cleaning, and exploratory data analysis (EDA)
Transform raw data into usable attributes for machine learning modules through feature engineering
Manage model lifecycle including development, deployment, data drift detection, model retraining, and model inference
Create automated data pipelines and data engineering solutions
Develop advanced and custom predictive models (classification, regression, time series, neural networks, and natural language processing
Leverage predictive models to optimize business results
Mitigate bias and promote data privacy, ethics, transparency, explainability, and fairness in data science models
Provide technical leadership and expertise on projects with cross functional teams
Mentor, train, and develop team members and data science practices in the organization
Identify, organize, and develop long term business and technology plans for data science strategies
Tune models with training, hyperparameters with comprehensive validation and testing processes
Leverage predictive models to optimize business results