How to write a Data Manager job description

Your job description is the first touchpoint between your company and your new hire. With millions of people searching for jobs on Indeed each month, a great job description can help you attract the most qualified candidates to your open position. To get you started, here are some tips for creating an effective job description.

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Data Manager job title

A great job title typically includes a general term, level of experience and any special requirements. The general term will optimize your job title to show up in a general search for jobs of the same nature. The level of experience will help you attract the most qualified applicants by outlining the amount of responsibility and prior knowledge required. And if your position is specialized, consider including the specialization in the job title as well. But avoid using internal titles, abbreviations or acronyms to make sure people understand what your job posting is before clicking.

Examples of Data Manager job titles

    Data Manager
    Senior Data Manager
    Data Manager (with Perl proficiency)
    Data Manager (Part-Time)
    Manager of Data

Data Manager job summary

A great job description starts with a compelling summary of the position and its role within your company. Your summary should provide an overview of your company and expectations for the position. Outline the types of activities and responsibilities required for the job so job seekers can determine if they are qualified, or if the job is a good fit.

Example of a Data Manager job summary

We are one of the largest multi-family property managers in the state and we have an immediate need for a Data Manager to join our corporate office. The successful candidate will help us collect, analyze and apply data to our daily operations, both to increase tenant satisfaction and retention as well as to improve our revenue potential. We’re looking for an analytical professional who thrives on the opportunity to review and compound data, and we need someone who can provide recommendations based on his or her evaluation of the data collected. Your ability to operate data collection and analytical software combined with your head for numbers will help you succeed in this position.

Data Manager responsibilities and duties

The responsibilities and duties section is the most important part of the job description. Here you should outline the functions this position will perform on a regular basis, how the job functions within the organization and who the job reports to.

Examples of Data Manager responsibilities

    Manage all incoming data files on tenants and individual properties
    Review data for inconsistencies or anomalies that could skew analytical results
    Maintain our databases and conduct routine maintenance as needed to ensure data integrity
    Provide individual properties with access to essential data sets
    Streamline data collection and analysis procedures to ensure fast access to metrics
    Communicate with Property Managers about data changes or requirements
    Generate and review documentation for all database changes or refinements
    Make recommendations for software, hardware and data storage upgrades

Data Manager qualifications and skills

Next, outline the required and preferred skills for your position. This may include education, previous job experience, certifications and technical skills. You may also include soft skills and personality traits that you envision for a successful hire. While it may be tempting to include a long list of skills and requirements, including too many could dissuade qualified candidates from applying. Keep your list of qualifications concise, but provide enough detail with relevant keywords and terms.

Examples of Data Manager skills

    Bachelor’s Degree in Computer Science, Computer Engineering or related field required
    5+ years’ experience in data management or analysis
    Experience with Linux configuration, SQL databases, Perl, Python and other related applications
    Ability to work with large data sets will help you in this position
    Excellent organizational skills
    Ability to extrapolate conclusions from large data sets

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