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Analytics Strategist, DataSF (1824)

City and County of San Francisco

Analytics Strategist, DataSF (1824)

San Francisco, CA
Full Time
Paid
  • Responsibilities

    Job Description

    The 1824 Analytics Strategist provides critical support to the Chief Data Officer (CDO). We break our work into three interrelated areas: Data Sharing, Data Governance, and Data Use. Data Use is the primary domain of the Analytics Strategist and drives and orients the work in the other two areas. To address data use needs across CCSF, we first surface analytical problems that need solving, identify the barriers to solving them, then create paths to address them. This often requires working through a mix of technical, policy, and organizational issues.

    The Analytics Strategist is responsible for developing a proactive approach that is human and problem-centered and always sets equity and ethics at its core. The Analytics Strategist must translate a myriad of needs from across CCSF into clear and coherent action.  This work is not done in isolation but in collaboration with many CCSF analysts and stakeholders. To address these needs, the Analytics Strategist will, in coordination with the CDO and DataSF team, adapt existing DataSF programs or develop and (potentially) manage new ones. 

    Along the way, the Analytics Strategist should expect to conduct the occasional analytic proof-of-concept to demonstrate value or move the work forward.  While the Analytics Strategist will not supervise the work of analysts across the City, the position will help shape approaches to complex analytical problems and build programs that benefit all CCSF analysts.

    This is a position for someone with an analyst's mind, a strategic eye, and an empathetic heart. KEY OBJECTIVES: 

    You’ll project manage the DataScienceSF service

    DataScienceSF (DSSF) is an established service from DataSF that helps departments achieve more with their existing resources using advanced analytics.

    DSSF works with departments to define a problem, identify statistical methods to address it, and develop and institute a tool to improve their work. The final product of DataScienceSF isn't a recommendation or a report but a service change. The objective of DSSF is to demonstrate the power of data science through a series of department projects. The goal is to reveal strong business cases for advanced analytics.

    The Analytics Strategist will work closely with DataSF’s Data Scientist to execute a series of data science projects.

    The Analytics Strategist is responsible for:

    • Managing the project solicitation process
    • Project managing the data science engagements
    • Managing communications and creating a library of successful projects
    • Conducting user, policy, and context research to support projects
    • Ensuring equity and ethics is centered via engagement with DSSF’s Ethics and Algorithm Toolkit
    • Strategically adapting and growing the DataScienceSF program to meet the evolving needs of the City

    You’ll foster analytical culture change in the City

    The Analytics Strategist is responsible for fostering analytical culture change to remove the barriers hindering the city’s analysts and data users.  This involves managing existing initiatives, conducting user research to identify gaps, and recommending new programs to the Chief Data Officer to address these gaps.  Examples of past initiatives are the adoption and promotion of PowerBI in collaboration with the Department of Technology, developing Data Academy in partnership with the Controller’s Office, and collaborating with Digital Services and the Controller’s Office to develop guides and templates for more accessible public reporting. 

    A successful candidate will know culture change does not simply happen as a result of  the ideas or efforts of a single person. Achieving change at scale invariably involves stakeholder coordination and balancing tradeoffs. 

    The Analytics Strategist will be responsible for:

    • Nurturing existing communities of practice
    • Collaborating with the Controller’s Office on Data Academy; depending on skillset and interest, potentially developing new trainings or teaching existing ones
    • Working with SF Digital Services to promote public data reporting on sf.gov
    • Identifying gaps and improving approaches to equity analysis in the city
    • Coordinating and collaborating with DataSF’s other staff to identify improvements to the data portal to enable better analytics
    • Conducting strategic organizational analyses to identify analytics gaps and developing programs or initiatives to fill them

    You’ll conduct strategic analytics projects

    DataSF occasionally engages in targeted analytical projects that do not require the advanced statistical modeling of the DataScienceSF program. The objective of ad-hoc analysis projects is to either demonstrate a novel technique or approach that is replicable for the broader analyst job class in the city, demonstrate the use of open data or other DataSF products, or encourage the creation of new data sets.

    The Analytics Strategist will be responsible for:

    • Conducting high-quality analyses
    •  Appropriately scoping projects as lightweight engagements that leverage existing departmental resources
    • Briefing the Chief Data Officer or departmental clients on analyses
    • Ensuring methods are well documented for replication by other analysts
    • When appropriate, developing trainings/workshops to promote adoption of methods
  • Qualifications

    Qualifications

    1. Possession of a graduate degree (Master's degree or higher) from an accredited college or university, and five (5) years full-time equivalent experience performing professional-level analytical work as described in Note A; OR
    2. Possession of a graduate degree (Master's degree or higher) from an accredited college or university with major college coursework as described in Note B, and four (4) years full-time equivalent experience performing professional-level analytical work as described in Note A; OR
    3. Possession of a baccalaureate degree from an accredited college or university, and six (6) years full-time equivalent experience performing professional-level analytical work as described in Note A; OR
    4. Possession of a baccalaureate degree from an accredited college or university with major college coursework as described in Note B, and five (5) years full-time-equivalent experience performing professional-level analytical work as described in Note A; SUBSTITUTION:  Applicants may substitute up to two (2) years of the required education with additional qualifying experience in budget analysis, financial analysis and reporting, legislative/policy analysis, or contract/grant administration. One year (2,000 hours) of additional qualifying experience will be considered equivalent to 30 semester units/45 quarter units. DESIRABLE QUALIFICATIONS:

    DataSF encourages applications regardless of whether you think you meet 100% of the skills listed below.

    Personal Skills

    • Excellent oral and written communication skills
    • Investigative ability and intellectual curiosity
    • Ability to learn and embrace new technologies
    • Comfort with risk and trying new things
    • Ability to work independently and as part of a small team
    • Enjoys collaborative processes and developing shared understanding
    • Strong organization skills

    Technical & Knowledge Skills

    • Proficiency with software programs that aid in data access and preparation, statistical analysis, and graphical presentation of data (e.g., Excel, GIS, R, SQL, PowerBI, etc.).
    • Excellent attention to detail and strong organizational, analytical, and project management skills
    • Familiarity with statistical concepts, including descriptive and inferential statistics as well as experimental design
    • Demonstrated ability to integrate, clean, analyze, and interpret data from disparate data sets
    • Demonstrated experience implementing dashboards and other visualizations
    • Demonstrated experience working with clients to develop data driven tools to support their work
    • Understanding ethics, equity, and bias as it relates to data and analytics
    • Familiar with concepts of user-centered design and user research

     

    IMPORTANT: Your application MUST include a cover letter and resume.  To upload these items, please attach using the "additional attachments" function. VERIFICATION: Applicants may be required to submit verification of qualifying education and experience at any point in the application and/or departmental selection process. Written verification (proof) of qualifying experience must verify that the applicant meets the minimum qualifications stated on the announcement. Written verification must be submitted on employer’s official letterhead, specifying name of employee, dates of employment, types of employment (part-time/full-time), job title(s), description of duties performed, and the verification must be signed by the employer. City employees will receive credit for the duties of the class to which they are appointed. Credit for experience obtained outside of the employee’s class will be allowed only if recorded in accordance with the provisions of the Civil Service Commission Rules. Experience claimed in self-employment must be supported by documents verifying income, earnings, business license and experience comparable to the minimum qualifications of the position. Copies of income tax papers or other documents listing occupations and total earnings must be submitted. If education verification is required, information on how to verify education requirements, including verifying foreign education credits or degree equivalency, can be found at http://sfdhr.org/index.aspx?page=456. NOTE: Falsifying one’s education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco. 

    Additional Information

    • Information About The Hiring Process
    • Conviction History
    • Employee Benefits Overview  
    • Equal Employment Opportunity 
    • Disaster Service Worker
    • ADA Accommodation
    • Veterans Preference
    • Right to Work
    • Copies of Application Documents
    • Diversity Statement

    COMPENSATION:  $121,0256 - $147,160 annually

    APPLICANTS ARE ENCOURAGED TO APPLY IMMEDIATELY AS THIS RECRUITMENT MAY CLOSE AT ANY TIME, BUT NOT BEFORE DECEMBER 6, 2021. LATE OR INCOMPLETE SUBMISSIONS WILL NOT BE CONSIDERED. MAILED, HAND DELIVERED OR FAXED DOCUMENTS/APPLICATIONS WILL NOT BE ACCEPTED. IN LINE WITH THE OFFICIAL PUBLIC HEALTH ORDER TO SLOW THE SPREAD OF COVID-19, “SHELTER-IN-PLACE” HAS BEEN ISSUED FOR ALL SAN FRANCISCO RESIDENTS THAT IS EXPECTED TO BE IN EFFECT UNTIL FURTHER NOTICE. AS A RESULT, DEPARTMENT OF HUMAN RESOURCES (DHR)’S OFFICE (LOCATED AT 1 SOUTH VAN NESS AVENUE, 4TH FLOOR, SAN FRANCISCO, CA 94103) IS CURRENTLY CLOSED TO THE GENERAL PUBLIC. IF YOU HAVE ANY QUESTIONS, PLEASE FEEL FREE TO EMAIL THE HUMAN RESOURCES ANALYST LISTED ON THIS ANNOUNCEMENT. Applications will be screened for relevant qualifying experience. Additional screening mechanisms may be implemented in order to determine candidates’ qualifications. Only those applicants who most closely meet the needs of the Agency will be invited to participate in the selection process. Applicants meeting the minimum qualifications are not guaranteed advancement to the interview. Qualified applicants with disabilities requiring reasonable accommodation in the selection process must contact the Agency by phone at (415) 554-6000 or, if hearing impaired at (415) 554-6015 (TTY).

    CONDITION OF EMPLOYMENT:  All City and County of San Francisco employees are required to be vaccinated against COVID-19 as a condition of employment.  For details on how it is applicable to your employment, please click here.

    The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.

  • Industry
    Government Administration