37 Data Analyst Jobs in Miami, FL
Spot Pet Insurance is Hiring a Data Analyst Near Miami, FL
Spot Pet Insurance is the fastest growing pet insurance company in North America. Our commitment to an exceptional end-to-end customer experience and our data-driven approach have quickly established us as a leading pet insurance provider. We're dedicated to providing pet parents with peace of mind by offering accessible and comprehensive coverage so their furry companions can lead happier, healthier lives. To demonstrate this, we recently joined forces with MrBeast to find homes for 100 homeless pets and committed to giving each of them pet insurance for life! Along the way, we’ve created a company culture that allows our employees to thrive, with perks like daily free meals, a pet-friendly office, and ridiculously fun company events every quarter. Our dedication to fostering a positive and rewarding work environment for our team has even earned us a Great Place to Work certification.
We are seeking a Data Analyst to join our dynamic team! The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. We are looking for someone who is high energy, willing to run through walls, and has a great ability to collaborate.
Salary: $80-90K / year
*This job is in office only at our Downtown Miami Office. No remote work offered*
Responsibilities:
- Work directly with management to help drive strategy and execute experiments to improve company efficiency across sales and marketing channels
- Build full-cycle experiments, reports, dashboards that help the business achieve its goals and enable better decision-making
- Capture our stakeholders' data needs and identify the primary output metrics that measure success. Regularly report on those metrics
- Investigate new data sources and work on adding, automating, and updating data pipelines responsible for delivering data
- Explore data correlations to refine the relationships between metrics
- Align data handling practices with data privacy in mind
- Build data governance with a single source of truth
- Ensure data integrity and observability across all data
Qualifications:
- Have 1-3 years working as a data analyst, business analyst, or data engineer.
- Strong experience using SQL to turn datasets into metrics.
- Experience with the ELT pattern
- Experience in managing databases, including relational database architecture, query optimization, and database schema design.
- Empathy and creativity to understand and solve stakeholders' problems.
- Passion for data origins, integrity, accuracy, and storytelling.
Technologies:
- SQL Databases (Postgres, MySQL)
- Data Studio and Tableau
- Google Analytics
- GCP
- BigQuery
- Segment CDP
- Python Programming
- R Studio
Nice to haves:
- Experience in analytics & visualization tools such as Tableau, Power BI
- Experience with data engineering tools such as BigQuery
- Experience with machine learning, advanced modeling, or market mix modeling
- Experience with advanced statistics
What we offer:
- The opportunity to work on challenging and impactful projects at the intersection of design and data.
- A collaborative and supportive work environment, recognized as a Great Place to Work.
- Cell phone allowance of $100
- Benefit package
- Dental, and visions benefits
- Life insurance
- Unlimited PTO
- Bring your pet to work
- Your pet insurance is covered (Up to $100)
- 401k with Company match
- Annual performance-based bonus
Job Summary
Full Time
$86k-113k (estimate)
06/12/2024
06/27/2024
spotpetins.com
West Palm Beach, FL
<25
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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.
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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.
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Data analysts rely on various tools to collect and make sense of their data.
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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.
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Step 3: View the best colleges and universities for Data Analyst.
