6 Jobs
The Youth Connection is Hiring a Data Analyst (SPF-PFS ) Near Detroit, MI
- Coordinates and participates in epidemiologic studies and data/evaluation programs.
- Assists in the investigation and control of substance abuse onset.
- Collects, evaluates and analyzes data from multiple sources / programs.
- Participates in quantitative and qualitative data analysis projects on behalf of TYC
- Conducts statistical analyses of epidemiologic and substance abuse data.
- Prepares reports on outcomes, activities and findings
- Conducts research and reviews of pertinent local, state and national reports.
- Performs other duties as assigned.
- Ability to work flexible hours including late evenings, weekends, on-call, and occasional overnights.
- Must have reliable transportation and willing to travel within the cities TYC serves, using personal vehicle.
- Must provide State of Michigan I-CHAT clearance, DHHS Central Registry clearance, and local police clearance. Federal clearances may also be required and State of Michigan Sex Offender Registry.
- Knowledge of broad health, safety, and substance abuse issues affecting youth and families.
- Effective time management and leadership skills.
- Excellent communication skills including writing and public speaking.
- Ability to access data from multiple sources and maintain positive relationships with partners and coalition members.
- Ability to handle multi-tasking and prioritization of duties
- Local, state, and national travel is required as part of the position.
- Must be available for full time work from Mon. – Fri 9:00 am – 5:00pm (some weekend/evening hours will be necessary)
Job Summary
Full Time
Hospital
$93k-121k (estimate)
02/26/2024
06/19/2024
mayorstime.com
DETROIT, MI
500 - 1,000
Private
ANDREW ESCAMILLA
$10M - $50M
Hospital
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The following is the career advancement route for Data Analyst (SPF-PFS ) positions, which can be used as a reference in future career path planning. As a Data Analyst (SPF-PFS ), it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst (SPF-PFS ). You can explore the career advancement for a Data Analyst (SPF-PFS ) below and select your interested title to get hiring information.
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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