Role: Data Analyst
Location: Fully work from home
Contract Duration: 6 months

Job Summary: The data analyst supports several project teams within the Historic Waste Program. They provide data analysis, aggregation, and reporting expertise for managing large volumes of data received from contractors. Their work is used to support project planning decisions and inform stakeholders, so accuracy and a attention to detail are essential. They have an ability to implement best practices for data management and dashboard reporting in addition to supporting GIS and other management reporting systems. They are able to manage multiple deadlines and communicate technical issues into relevant business terms.

Qualifications

Education:Bachelor degree with focus on computer science, commerce, statistics, science or other similar subject where computations, excel and data are managed.

Experience:

5+ years in a data analyst role
3+ years supporting project teams

Abilities and Skills:

• Strong communication skills and proven ability to maintain a cordial working relationship at all levels within the organization and with contractors.
• Effective at building relationships. Strong interpersonal skills and is a team player.
• Effective written skills to for documentation.
• Highly skilled in planning and prioritizing work to meet various deadlines.
• Ability to maintain a flexible work schedule to meet project demands and last minute requests.
• Quick learner and highly adaptable to changes in processes, systems, or technologies.
• Strong questioning attitude with logical thinking, must be detail oriented, accurate and precise.

Job/Industry Specific Knowledge:

• Knowledge of advanced tools and features in Excel for data management. Knowledge of database design principles and SQL.
• Well experienced in managing, manipulating, and presenting large datasets.
• Well experienced in data quality processes, data validation and data aggregation.
• Experienced in dashboard reporting or data visualization.
• Well experienced in administration of SharePoint and Microsoft Teams Experience with ESRI ArcGIS Online and/or Portal.
• Previous experience working in a project environment.

Functions and Responsibilities

FUNCTION 1:

Aggregate data from multiple sources into management systems

Responsibility 1 a:

Participate in and contributes to the development of processes for analysis of project data to meet all applicable PHAI project requirements and achieve an acceptable level of data integrity and data quality for reporting purposes and mapping capabilities.
Collaborate with cross functional teams to understand data requirements and create comprehensive documentation including data mapping and process flows of data transmitted and shared with external sources

• Works with teams on data validation to ensure accuracy and reliability of project data.
• Perform quality checks to ensure data quality, consistency and accuracy and reports issues and gaps to project teams.
• Work with project teams and contractors to address data issues and gaps.
• Responsibility 1 b: Monitor data freshness.

FUNCTION 2:

Generate reports and/or data visualizations as requested by project teams and stakeholders
Responsibility 2 a: Support project teams by ensuring report parameters are accurate and valuable for decision making processes.
• Responsibility 2 b: Perform quality checks on reports to ensure accurate data processing.
• Responsibility 2 c: Present reports to stakeholders/teams and communicate findings in a professional manner while explaining data processes/system capabilities.

Recommend reporting improvements.

The work occasionally involves additional responsibilities as assigned by the Manager. Relationships (Internal & External)

Internal Relationships:

Work closely with various HWP project teams to offer expertise and support on data and reporting needs.
Support internal team on various business systems and be open to learning new skills and systems as well as teaching others.

External Relationships:

Not applicable on a regular basis but may be required to meet with external data suppliers to discuss data transmitted or shared.
Problem Solving
Type of problem solving related to the role:
Resolve data quality and process issues and/ or reporting errors. Address issues and requests from project teams
Effort and Working Conditions
Physical and Sensory Demands: Sitting for extended periods of time
Visual and mental concentration for working with large volumes of data