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Top 3 Skills:
R (data cleaning, performing calculations on large datasets, performing exploratory data analysis). You will also use Python on occasion.
Responsibilities:
Assist with the maintenance of daily, weekly, monthly, and quarterly business reporting functions.
Gather Retail Operations data from multiple databases, platforms, stakeholders, and 3rd party vendors to complete analyze.
Transform large data sets through data wrangling, exploratory data analysis, and predictive modeling.
Leverage Power BI (and other data visualization tools) to build and maintain custom reports and dashboards to reveal trends and correlations in large data sets.
Implement row level security in the Power BI (and other data visualization tools) to enable secured viewing of the reports for designated job levels and locations.
Identify opportunities to enhance reporting capabilities and improve processes.
Collaborate with cross-functional teams to understand the data needs to execute department and enterprise-wide strategic objectives and initiatives.
Identify and communicate any data-related issues and recommendations to the business owner, manager, and the team.
Provide data insights and solutions to leaders to drive decision-making.
Key Responsibilities
Standardize and solidify company's data processes and quality
Assist in developing business reporting
Increase data availability, standardization and automation processes
Problem solve and investigate issues
Participate in all phases of system testing Work successfully in an Agile Project across multiple feature and component teams
Complete estimates and work plans in Program Increments (PI) Meetings as appropriate for design, development, implementation and rollout tasks
Full Time
$93k-122k (estimate)
07/17/2024
08/05/2024
The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, 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. You can explore the career advancement for a Data Analyst 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.
12/10/2021: Lynchburg, VA
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.
02/10/2022: Temple, TX
Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
12/21/2021: New London, CT
Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
12/24/2021: Alamogordo, NM
Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
03/03/2022: Santa Maria, CA
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.
02/20/2022: Laramie, WY
Data analysts rely on various tools to collect and make sense of their data.
01/17/2022: Melbourne, FL
Banks and financial firms need data analysts for financial reporting and forecasting.
03/04/2022: Akron, OH
Data analysts often work directly with more senior data team members like data scientists or data engineers.
03/02/2022: Grand Forks, ND
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.
02/26/2022: Las Vegas, NV
Step 3: View the best colleges and universities for Data Analyst.