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What you'll bring
● 5-8 years of experience working with data and analytics with knowledge of statistics
● Highly proficient in SQL, Data Visualization software (Qliksense, Tableau, Amplitude), and Excel
● Excellent problem-solving and logic skills and end-to-end quantitative thinking
● Ability to manage multiple projects simultaneously to meet objectives and key deadlines
● Outstanding communications skills with both technical and non-technical colleagues
● Strong ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
● Proactive and inquisitive learner who seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances
● Strong organization, time management and task prioritization skills
● Ability to adapt and flex given changing environments and priorities
● Experience in a scripting language to automate and reuse code. Optional but encouraged: experience in prompt engineering to accelerate development tasks
● Experience in defining metrics and instrumenting data tracking
How you will lead
● Partner with Product and Operations leaders and other analytics teams to enable data driven decisions and key customer insights in the management and operation of our expert network.
● Collaborate across product management and engineering to ensure reporting solutions are scalable, repeatable, effective, and meet expectations for a variety of stakeholders.
● Define, implement, and standardize metrics, reports and dashboards leveraging state of the art business intelligence tools.
● Provide recommendations utilizing statistical model generation using multiple types of data, business knowledge, programmatic insights, and strategic assumptions when data doesn’t exist.
● Suggest ad-hoc analytic questions, contribute to decision making through opportunity sizing, and facilitate use of self-serve standard reports.
● Establish data quality standards, troubleshoot data validation, proactively identify issues, and see them to resolution.
Job Type: Full-time
Pay: Up to $75.00 per hour
Location:
Work Location: Remote
Full Time
$93k-122k (estimate)
07/09/2024
11/04/2024
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 III 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.
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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.
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.
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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.
02/26/2022: Las Vegas, NV
Step 3: View the best colleges and universities for Data Analyst.