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Data Analyst
Wolfe Pittsburgh, PA
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$78k-102k (estimate)
Full Time 1 Day Ago
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Wolfe is Hiring a Data Analyst Near Pittsburgh, PA

About Us:
The Wolfe Companies, LLC, a leader in the Gift Card and FinTech sectors, is known for its prominent brands such as PerfectGift, Gift Card Granny, GiftYa, Reaf Marketing, and Give InKind. Our company excels in delivering exceptional value and customer experience in our industry. You'll find detailed information about our company culture, values, and the recognition we've earned in our industry at the top page of our career site.
Role Summary:
This is a hybrid role, the employee will be required to report to our Headquarters in Pittsburgh, PA at least 2 times/week. We are seeking a talented E-commerce Data Analyst who is passionate about leveraging data to drive optimization and growth within the e-commerce space. The ideal candidate will have a deep understanding of e-commerce metrics, extensive experience in analyzing online consumer behaviors, and a proven track record of utilizing data-driven insights to enhance engagement and conversion rates.
Responsib ilities:
  • Deep dive into e-commerce metrics: Utilize your expertise in e-commerce metrics such as conversion rates, cart abandonment rates, and customer acquisition cost to identify areas for improvement and optimization across various online sales channels.
  • Analyze online consumer behaviors and trends: Analyze and interpret online consumer behaviors, preferences, and trends to identify opportunities for increasing engagement and driving conversions within the e-commerce ecosystem.
  • Customer journey mapping: Map and analyze customer journeys in an e-commerce context to identify pain points, optimize touchpoints, and enhance the overall shopping experience.
  • Data integration and analysis: Integrate and analyze data from multiple e-commerce channels including websites, mobile apps, and social media platforms to gain holistic insights into customer behavior and preferences. Utilize common AWS tools such as AWS Glue for data integration and AWS Redshift for data warehousing.
  • Platform expertise: Demonstrate hands-on experience with major e-commerce platforms and their analytics capabilities to effectively gather, analyze, and interpret data for strategic decision-making.
  • Personalization and recommendation algorithms: Leverage your familiarity with data-driven personalization and recommendation algorithms to enhance the shopping experience, increase average order value, and drive customer satisfaction.
  • Spark and AWS proficiency: Utilize Apache Spark for large-scale data processing and analysis. Leverage common AWS tools such as Amazon EMR for big data processing and AWS S3 for data storage and retrieval.
Qualifications:
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
  • Proven experience in data analysis and manipulation using PySpark, SQL, or similar tools in a cloud environment.
  • Hands-on experience with AWS services such as S3, Glue, Athena, Redshift, or similar cloud-based data technologies.
  • Strong analytical skills with the ability to interpret complex datasets and identify patterns indicative of fraudulent behavior.
  • Experience developing and implementing fraud detection algorithms, machine learning models, or statistical techniques is highly desirable.
  • Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
  • Highly motivated self-starter with a passion for problem-solving and continuous learning.
  • Experience with Fraud tools such as Kount, Midigator, Ethoca, Order Insights, and others.
  • Alignment to our core values and commitment to drive, integrity, teamwork, caring, and excellence.
Compensation & Benefits:
Wolfe is committed to providing its employees with a benefits package designed to give them the flexibility they need to ensure a healthy life/work balance. Wolfe offers its employees great benefits and perks, including, but not limited to:
  • Restricted Stock Units (RSUs)
  • Medical, Vision, and Dental insurance for employees and dependents
  • 15 days of PTO (vacation). 20 days after the 2-year anniversary. 25 days after the 5-year anniversary.
  • 12 Paid Holidays plus 2 Floating Holidays
  • 401(k)
  • Tuition Reimbursement
  • Employee recognition program
  • Charitable Donation to a Charity of YOUR Choice yearly
  • Family Picnic, Holiday Party, and other employee outings
  • Brown bag sessions to keep you informed on the company/industry
  • Internal Culture Club
  • Competitive Compensation
Wolfe is an Equal Opportunity Employer.
Wolfe does not sponsor individuals for the purpose of obtaining H-1 Visas.

Job Summary

JOB TYPE

Full Time

SALARY

$78k-102k (estimate)

POST DATE

04/29/2024

EXPIRATION DATE

05/12/2024

HEADQUARTERS

JACKSON, TN

SIZE

<25

FOUNDED

1997

CEO

WESLEY WOLFE

REVENUE

<$5M

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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.

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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.

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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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