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Data Analyst
PlanRVA Richmond, VA
Apply
$75k-99k (estimate)
Full Time 2 Days Ago
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PlanRVA is Hiring a Data Analyst Near Richmond, VA

Job Description

Job Description
Salary: 65,587.80 Annually

PlanRVA is hiring a data analyst with a strong interest in urban and regional planning. This role focuses on using data to support transportation, environmental, community development, and hazard mitigation projects. As a key member of our multidisciplinary team, the Data Analyst will work closely with planners and specialists across these areas. The role involves sourcing data from public repositories, government agencies, and regional partners, including private and non-profit sectors. The Data Analyst will transform raw data into actionable insights using tools like Excel, ArcGIS, and Python or R,. The analyst will support various analyses, such as population forecasting, scenario modeling, land use & land cover analysis, and more. Additionally, the analyst will develop and maintain indicators that track trends in demographics, affordable housing, the economy, education, health, and other factors measuring upward mobility in the Richmond region. The role also includes communicating the findings through data visualizations, web applications, reports, and other dissemination formats.

Core competencies:

  • Demonstrated commitment to building a career in urban data science, with a particular focus on analyzing and communicating insights across key areas such as demographics, socio-economics, transportation, environment, land use and community development.
  • Proficient in both verbal and written communication, with the ability to effectively collaborate with diverse teams and translate complex data into clear, actionable insights through reports, interactive maps, and data visualizations. Skilled in managing multiple long- and short-term projects, conducting literature reviews - traditional and web-based. Knowledge of research methods - both quantitative and qualitative, ability to design survey and conduct statistical analysis, and data synthesis.
  • Proficient in using Geographic Information System (GIS) software such as ArcGIS and ArcGIS Online. Experienced with tools like Story Maps, Experience Builder, and Dashboard Builder for developing interactive maps and web applications. Foundational knowledge of raster data, including raster data mosaic, raster calculator/map algebra, and various analytical tools within ArcGIS Pro.
  • Strong quantitative analysis skills with experience in using Excel for data management and analysis. Experience in using geodatabase management tools within ArcGIS Pro. Familiarity with data visualization using Excel, ArcGIS Online, or through platforms such as Tableau or Power BI.
  • Deep understanding of the fundamentals of transportation and environmental planning. Capable of utilizing geoprocessing tools to develop spatial analysis models and assess the impacts of transportation and environmental projects on surrounding communities. Proficient in analyzing geographic data and effectively communicating results through data reports and interactive mapping tools.

An ideal candidate will have some of the following additional skills:

  • Demonstrated experience in scripting languages such as Python and/or R, including libraries for data analysis and visualization. Skilled in developing data pipelines, cleaning and managing data using Pandas or Tidyverse, data analysis using Pandas, Geopandas, Statsmodels, or similar libraries, and creating visualizations with tools like Matplotlib, Bokeh, Plotly, Seaborn, or similar plotting libraries. Experience in developing dashboard applications using open-source libraries like HoloViz, Flask, Plotly Express, Streamlit, or similar.
  • Familiarity with travel demand modeling, including experience with CUBE modeling software. Knowledge of population forecasting methods, such as the cohort component method, and skills in future year travel forecasting, future network planning, and deficiency analysis.
  • Experience with environmental data sources and analytical methods, including identifying green infrastructure, assessing watershed and flood risk, analyzing tree canopy and urban heat islands, and evaluating the impact of development on air quality and other environmental factors.
  • Understanding of regional planning foundations, land use practices, and transportation modes in accordance with Virginia Code.
  • Familiarity with comprehensive planning process in general and some knowledge of regional issues and programming for the Richmond region/metropolitan area.
  • Knowledge of research practices for compiling and analyzing data needed for planning models, including developing base year socioeconomic data.

Supervisory Responsibility

This position is generally not responsible for supervision of other personnel but may have responsibility for project management and team coordination.

Position Type/ Expected Hours of Work

This is a full-time position. Standard days and hours of work are Monday through Friday, 8:00 am to 4:30 pm; flexible schedules are permitted with prior approval. Occasional evening and weekend work may be required for specific project deadlines or meetings as job duties demand.

Required Education and Experience

Masters' degree in planning, public administration, data, computer science, engineering or related field. Bachelor's degree with 5 years of progressive relevant experience in listed fields also accepted. Ideal candidates will have at least one year working experience as Data Analyst or in related field.

Work Environment

This job operates in a professional office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, and filing cabinets.

Physical Demands

  • While performing duties of this job, the employee is regularly required to talk or hear.
  • The employee is frequently required to stand, walk, use hands to touch, handle or feel and to reach with hands and arms. 
  • The position requires the ability to occasionally lift office products, small equipment and supplies up to 30 pounds.
  • Must possess the visual acuity to prepare data and statistics, to perform accounting, to operate a computer, and to read extensively. 

Additional Eligibility Qualifications

None required for this position.

Benefits

More information about benefits offered can be found on our website

https://planrva.org/home/about-the-commission/employment-opportunities/

Work Authorization/ Security Clearance

The position does not require a criminal background check.

Deadline: Applications will be considered until the close of business Friday, September 27, but we will begin screening applicants immediately.

Important: When applying please submit a cover letter and resume.

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This position description is not designed to cover or contain comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.

PlanRVA strives to cultivate and maintain an inclusive culture among its staff members. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions are based on agency need, job requirements and individual qualifications, without regard to race, sex, color, national origin, religion, sexual orientation, gender identity, age, veteran status, political affiliation, genetics, disability or any other status protected by the laws or regulations applicable in the Commonwealth of Virginia.

Job Summary

JOB TYPE

Full Time

SALARY

$75k-99k (estimate)

POST DATE

09/15/2024

EXPIRATION DATE

09/30/2024

Show more

PlanRVA
Full Time
$72k-94k (estimate)
9 Months Ago

The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst III that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.

Quick Med Staffing
Contractor | Full Time
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If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Analyst job description and responsibilities

A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.

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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.

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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.

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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.

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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Analyst jobs

Data analysts typically work with existing data to solve defined business problems.

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Data analysts rely on various tools to collect and make sense of their data.

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Banks and financial firms need data analysts for financial reporting and forecasting.

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Data analysts often work directly with more senior data team members like data scientists or data engineers.

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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.

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Step 3: View the best colleges and universities for Data Analyst.

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