Data Manager - Washington, United States - Martha's Table

Description

Job Description

DATA MANAGER

Martha's Table requires all team members and classroom volunteers to have completed a COVID-19 primary series and received one booster dose. Team members who are not yet eligible for a booster must submit proof of their booster vaccination within 2 months of receiving their final primary series dose or an original monovalent booster vaccine to

Martha's Table will consider waiving the vaccination requirement for:

• Team members who object in good faith and in writing, pursuant to procedures established by the City Administrator or his or her designee, that the employee's vaccination would violate their sincerely held religious beliefs; an
• Team members who have obtained and submitted written certification from a physician or other licensed health professional who may order an immunization, that being vaccinated for COVID-19 is medically inadvisable because of the employee's medical condition.

Team members who believe they qualify for either exemption must submit a request for a waiver along with appropriate documentation to support their request to

Martha's Table is an equal opportunity employer. Applicants who are unable to be vaccinated for religious or medical reasons should contact Human Resources ) as soon as possible to engage in the interactive process and explore what, if any, reasonable accommodations Martha's Table is able to offer.

ABOUT MARTHA'S TABLE

At Martha's Table, we believe that every Washingtonian deserves the opportunity to thrive. For over forty years, we have worked to support strong children, strong families, and strong communities by increasing access to quality education, health and wellness, and family resources.

Together, we are "One MT." This means we work across all three of our locations to support our shared mission. In all that we do, we exemplify our four core values of respect, compassion, teamwork, and accountability. These values -- and our commitment to "white glove service" -- guide how we engage with the communities we stand alongside and how we work together as a team. When you come to Martha's Table -- as a guest or as a team member -- you are valued and you deserve our very best.

In order to be the best version of MT, we are deeply committed to equitable practices. We apply the principles of diversity, equity, and inclusion in providing programming and services; in creating our Board; in partnerships and procurement; and in hiring, training, and advancing our team members.

We invest in our team members' personal and professional goals through our "STEP" program, which includes tuition for continuing education, certifications, and professional development; funding to unlock financially held transcripts; and flexible leave options.

POSITION OVERVIEW

This role is responsible for the organization and accuracy of data; setting up processes to make data more efficient, analyzing and interpreting trends from the data, responding to data-related queries, and creating visual data reports/dashboards.

POSITION DUTIES & RESPONSIBILITIES

• Develop and maintain database and data systems – reorganizing data in a readable format
• Perform analysis to assess the quality and meaning of data to identify trends and interpret patterns
• Design processes to increase the efficiency and accuracy of data collection within programs and across the organization
• Establish efficient and accurate data management practices through-
  • Strategic program capacity-building through database management and administration
  • Carrying out regular check-ins with program teams and consultants (EFforts to Outcomes, Child Plus , TS-Gold and SurveyMonkey).
  • Maintaining, updating, and providing feedback on data collection and management
• Partner with program leaders and across the organization to develop a data-driven culture within their teams by building strong data management practices and accountability measures.
• Attend at least 2 anchor events annually
• Performs other duties as assigned.
• Commitment to Martha's Table's mission and core values of compassion, respect, teamwork, and accountability.
• Embodies and serves as a model for "white glove service" and our organization's core values.

EXPERIENCE, KNOWLEDGE, AND SKILL REQUIREMENTS

• Demonstrated commitment to Martha's Table's core values of compassion, respect, teamwork, and accountability
• Ability to clean and prepare data for analysis. This includes removing errors, identifying outliers, and transforming data into a format that can be readily analyzed and understood.
• Ability to create dashboards and reports that communicate the impact of the organization's work and share insights with stakeholders. This includes using tools like Tableau, Power BI, and Microsoft Word to create interactive dashboards and reports.
• Ability to prioritize and manage multiple projects across departments.
• Ability to analyze data and explore it for insights. This includes using statistical methods to test hypotheses, identify trends, and make predictions.
• Attention to detail and ensuring accuracy in data analysis and recognizing anomalies or errors in data.
• Data analysis to promote continuous learning and improvement; using data for ongoing learning and refinement of processes, strategies, and decisions to help gain insights into program performance, identify areas for improvement, and make informed adjustments over time.
• Communication- Ability to clearly convey findings, both written and orally, to non-technical stakeholders. This includes creating reports and presentations that gives the insights from the data
• Demonstrated commitment to data-driven programming. Experience in designing and implementation of conventional evaluation tools, analyzing, interpreting trends and collaboration with the program team in responding to data-related queries.
• Proven ability to effectively communicate qualitative and quantitative data to a wide range of audiences and support stakeholders' ability to translate this data into action.
• Data Visualization skills- experience in using tools like Tableau, Power BI, Matplotlib, Seaborn, or ggplot2 to represent data in a visual format that's easy to understand
• Excellent communication and presentation skills
• Ability for critical thinking
• Creativity
• Having a systematic and logical approach to problem-solving
• Team working skills

EDUCATION AND TRAINING REQUIREMENTS

• Master's degree (or 7 years of directly related non-profit experience without a Master's degree) plus 5 years experience and/or proficiency in the following:
• Data Analysis: statistical analysis, data mining, data visualization, and predictive modeling.
• Database Management: SQL or other database querying languages, along with experience working with databases such as MySQL, PostgreSQL, or Oracle.
• Data Visualization: data visualization tools such as Tableau, Power BI, or matplotlib for creating clear and insightful visual representations of data.
• Programming Skills: programming languages commonly used in data analysis such as Python, R, or Julia.
• Data Cleaning and Preprocessing: cleaning and preprocessing raw data to ensure its accuracy, completeness, and consistency.
• Reporting and Presentation: preparing and presenting findings to stakeholders using reports, dashboards, or presentations.
• Problem-Solving: identify business problems, formulate hypotheses, and apply analytical techniques to derive insights and solutions.
• Collaboration and Communication: working in cross-functional teams, collaborating with colleagues, and effectively communicating findings to non-technical stakeholders.
• Analytical Tools: proficiency in analytical tools such as Excel, Google Analytics, or Adobe Analytics, depending on the specific requirements of the role.

WORKING CONDITIONS

• The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually moderate. The employee will routinely operate typical business office equipment, including computer hardware.