ZipRecruiter

Log In

1

Data Wizard Jobs (NOW HIRING)

Relevance Lab

Business Data Analyst

Data wizard with hands on data analysis, profiling, and superior PL/SQL skills. * Excellent presentation, listening, and writing skills with ability to lead workstreams independently. Qualifications

Apple

Finance Data Scientist - Enablement

Cupertino, CA

$123K - $186K/yr

Lead engaging workshops and consultations through programs like the Data Wizard Academy to up-skill Finance teams on practical technical delivery concepts, including: Transitioning from manual or ...

Wizard

Senior Product Manager - Agentic AI Experiences

$185K - $235K/yr

... Wizard agent understands intent, takes action, and guides users through conversations that convert. You'll work closely with engineering, design, data, and our founder team to define how an AI agent ...

Wizard

Lifecycle Marketing Manager

New York, NY · On-site

$125K - $175K/yr

You make decisions with data and document what you learn. * Partner with product to align key moments with lifecycle triggers, and with creative to ensure everything looks and feels like Wizard. What ...

Wizard

Lifecycle Marketing Manager

New York, NY · On-site +1

$125K - $175K/yr

You make decisions with data and document what you learn. * Partner with product to align key moments with lifecycle triggers, and with creative to ensure everything looks and feels like Wizard. What ...

Wizard

Senior Machine Learning Engineer (Inference Platform)

$107K - $146K/yr

About Wizard AI At Wizard AI, we're building the top-performing AI Shopping Agent that delivers the ... Partner with ML, Data, Product, and DevOps teams to turn ideas into production systems, driving the ...

Wizard

Senior Python Engineer

$200K - $225K/yr

You'll build APIs, services, and data systems that connect LLMs and ML models to user-facing ... In addition to base salary, Wizard offers: * Equity in the form of stock options * Medical, dental ...

Wizard

AI Applied Scientist

$225K - $280K/yr

About Wizard Wizard is the top-performing AI Shopping Agent, delivering the best products from ... Identify failure modes and edge cases, and drive improvements through data * Make agent performance ...

next page

Showing results 1-20

All JobsData Wizard Jobs

Data Wizard information

See salary details

$9

$27

$69

How much do data wizard jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for data wizard in the United States is $27.68, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $32.21 per hour, depending on experience, location, and employer.

What jobs make $1,000,000 a year?

In the context of a Data Wizard or similar high-level data roles, earning $1,000,000 annually typically involves executive positions such as Chief Data Officer or Data Science Director in large corporations, often combined with bonuses, stock options, or profit sharing. These roles require extensive experience, advanced skills in data analysis, machine learning, and leadership, and are usually found in industries like finance, technology, or consulting. Such compensation levels are rare and usually reflect seniority, performance, and company size.

What is the difference between Data Wizard vs Data Analyst?

AspectData Wizard
Required CredentialsTypically requires advanced degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentOften works in tech companies, startups, or data-driven organizations, focusing on complex data projects
Employer & Industry UsageUsed in industries like tech, finance, and consulting; roles involve developing new data tools and algorithms

While Data Wizards possess advanced technical skills and work on complex data innovations, Data Analysts focus on interpreting data, creating reports, and supporting decision-making. Both roles are vital but differ in scope and technical depth.

What are some common challenges Data Wizards face when working with large and complex datasets?

Data Wizards often encounter challenges such as cleaning and organizing unstructured or incomplete data, ensuring data integrity, and managing data from multiple sources. They may also need to optimize data processing workflows to handle high volumes efficiently while maintaining accuracy. Collaborating closely with analysts, engineers, and stakeholders is key to translating raw data into actionable insights, but aligning on data definitions and priorities can require strong communication and negotiation skills.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, including those starting at 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, as well as building a strong portfolio and network. Age is less important than your ability to learn and adapt to evolving technologies in the field.

Which 3 jobs will survive AI?

Data Wizards, data analysts, and data engineers are likely to continue thriving as AI automates routine tasks but still requires human oversight, interpretation, and complex problem-solving. These roles involve skills in statistics, programming, and data management, making them less susceptible to full automation. Continuous learning and proficiency with tools like SQL, Python, and machine learning frameworks enhance job security in these fields.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or related fields. Familiarity with data analysis tools like SQL, Excel, Python, R, and visualization platforms such as Tableau or Power BI is typically required, along with certifications like Microsoft Certified: Data Analyst Associate. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and presenting insights clearly to stakeholders. These competencies ensure accurate data-driven decisions and enable organizations to leverage information for strategic advantage.

What is a data wizard?

A data wizard is a professional skilled in analyzing, interpreting, and managing large datasets using tools like SQL, Python, or R. They often work to extract insights, automate data processes, and support decision-making in organizations.
More about Data Wizard jobs
What job categories do people searching Data Wizard jobs look for? The top searched job categories for Data Wizard jobs are:
Data Wizard jobs near you
Infographic showing various Data Wizard job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 5% As Needed, 1% Full Time, 89% Part Time, and 4% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $57,581 per year, or $27.7 per hour.
Business Data Analyst

Business Data Analyst

Relevance Lab

Remote

Contractor

Posted 16 hours ago

Job description

Job Description
  • Experience as Data Product Owner or business data analyst in Agile environment.
  • Very strong in SQL-who has done some Product Owner work or has been a Business Data Analyst. The initial interview is all technical around SQL.
  • Deep expertise and a minimum of 10+ years of experience in Customer Data, Data warehouse and Analytics.
  • Hardcore data analyst with broad experience desired in data warehousing, business intelligence (BI), data governance & data integration.
  • Data wizard with hands on data analysis, profiling, and superior PL/SQL skills.
  • Excellent presentation, listening, and writing skills with ability to lead workstreams independently.
Qualifications
  • Min 10 + years of total experience as data analyst needed financial services and banking experience is preferred.
  • Excellent written and verbal communication skills with both internal and external stakeholders.
  • Experience with data modelling, data analysis, data visualization, API's and real time services preferred.
  • Full understanding and hands on experience of waterfall and agile development practices.

How to Apply
Be part of a collaborative, fast-paced team at the forefront of innovation and technology advancements. Not only will you enjoy your work life at Relevance Lab, you'll also have the opportunity to grow your skills and career. If you are passionate about driving results, we'd love to talk with you.

Apply