Data Analyst

Please read this job post fully.

Reach and Make Millions is looking for a part-time data analyst, on about 5-10 hours per week and looking to grow to full-time in the future.

We have a lot of marketing campaigns running right now and our spreadsheets & reporting are disorganized. The main goal for this role is to come in, make sure data is being collected from the proper sources, organize this data in a way that's easy to report & maintain, and then report to the team any changes or improvements that can be made based on stats. We need someone that can ensure the accuracy of the data, which means they'll need to have the technical skill to navigate Facebook Business Manager, Leadpages, Google Analytics, Google Tag Manager, Crazy Egg, Mixpanel, Google Data Studio, Databox, Trello, and more.

We need someone with strong leadership skills as this role will be helping with data-driven decision making and problem solving tasks. Online marketing & sales knowledge is a plus, but we can provide the resources and training for that as well.

We will be relying on the data analyst to track the most important metrics for our projects & campaigns, to diagnose problems that may be occurring, and to predict how different courses of action could address a problem. When you apply, please start your message with the phrase: I love spreadsheets. This is a new role for Reach and Make Millions so we need someone who's a self-starter and willing to build the systems for this from the ground up, or improve the systems we've been building so far in Google Sheets.

WHAT WE'RE LOOKING FOR IN DATA ANALYSIS:

- Descriptive analytics - Examining what happened in the past: Monthly revenue, quarterly sales, yearly website traffic, and so on. These types of findings allow our organization to spot trends.
- Diagnostic analytics - Considering why something happened by comparing descriptive data sets to identify dependencies and patterns. This helps an organization determine the cause of a positive or negative outcome.
- Predictive analytics - Seeking to determine likely outcomes by detecting tendencies in descriptive and diagnostic analyses. This allows our organization to take proactive action—like reaching out to a customer who is unlikely to renew a contract, for example.
- Prescriptive analytics - Attempting to identify what business action to Upgrade to see actual infosentially the ability to address potential problems or stay ahead of industry trends.

RESPONSIBILITIES:

- Managing master data, including creation, updates, and deletion.
- Provide quality assurance of imported data.
- Processing confidential data and information according to guidelines.
- Helping develop reports and analysis.
- Managing and designing the reporting environment, including data sources, security, and metadata.
- Supporting initiatives for data integrity and normalization.
- Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
- Generating reports from single or multiple systems.
- Troubleshooting the reporting database environment and reports.
- Training team members on new reports and dashboards.
- Providing technical expertise on data storage structures, data mining, and data cleansing.