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As a Data Analyst at Zywave, you will conduct data transformation and data preparation to support various projects. These are important to the business as they provide information and insights to key stakeholders to aid with decision-making or solution development. You will also help implement data standards and deploy automation tools to extract, synthesize, and validate data from different sources and then transform that data into usable metrics. Lastly, as a Data Analyst, you will construct data sets, monitors data quality, troubleshoot and resolve database issues to ensure data integrity.
What you will do
You will be part of a growing Revenue Operations Technology team, with an emphasis on general data updates, SKU data work, M&A data conversion, data cleansing and department backlog grooming/routing/triage. In addition, you will assist and gain exposure to maintaining reports and dashboards using various business intelligence applications, ETL dataflows and Snowflake.
Factors for Success
Why work at Zywave?
Zywave is a cutting-edge SaaS company that has led the digital revolution of the insurance industry over the last 25 years. We continue to make waves by launching new product functionality and integrations to deliver a world-class customer experience. Since 2020, Zywave has acquired seven insurtech companies representing 1000 employees globally. With our remote-first environment and core values that encourage employees to grow, belong and transform professionally there are endless opportunities to build new skills and relationships. Why wait to hop aboard the rocket ship? Get onboard now!
IT Outsourcing & Consulting
200 - 500
$50M - $200M
IT Outsourcing & Consulting
Zywave is a cloud-based platform that provides enterprise management and policy administration solutions for the insurance industry.
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.