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Data Analyst
LendingPoint Kennesaw, GA
$90k-117k (estimate)
Full Time 2 Months Ago
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LendingPoint is Hiring a Data Analyst Near Kennesaw, GA

JOB SUMMARY: Responsible for designing, creating, and using datasets to answer complex business questions. Focus will be on actionable reporting, BI, data, and consulting with all departments in the organization. Work closely with other analysts, designated business units, and executives to deliver high quality outcomes through the application of critical thinking applied to data analysis to create value.

ESSENTIAL JOB FUNCTIONS:

  • Perform data collection, wrangling, and data exploration tasks.
  • Partner with subject matter experts, architects, and engineers to assist in analyzing business initiatives and, where appropriate, assist in the creation of data models that will bring the company closer to meeting its goals.
  • Create folders, maps, definitions, and code samples to catalog how terms are calculated and data is collected, joined, and wrangled in SQL, GCP, Excel, and Tableau.
  • Use quantitative techniques to assist senior members of the company answering critical questions and solving issues centered on these questions .
  • Use both simple and complex analysis techniques to assess the success rates of current processes and offer quantitative insight to improve or make changes to these processes.
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions, streamlining processes, and automate where needed.
  • Use big data platforms and techniques to mine and analyze data driving optimization and improvement of product development, marketing techniques and business strategies.
  • Identify and champion new initiatives aimed at delivering value to business stakeholders.
  • Mentor junior level data scientists.
  • Respond to Ad Hoc requests for data and data analyses.

MINIMUM QUALIFICATIONS: The requirements listed below are representative of the minimum knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

  • BS/Master’s Degree in Business, Math, Finance, Statistics, Analytics, Research, or related discipline from an accredited university.
  • 2 years’ experience in Data Analysis or equivalent work experience.
  • 2 years’ demonstrated expertise in BI tools (Domo,Tableau,Looker,Qlik,etc)
  • Proficient with SQL relational database management systems and query optimization
  • Knowledge of datamart structure/usage
  • Advanced MS Excel and PowerPoint.
  • Experience visualizing, interpreting, and presenting data for stakeholders
  • Strong understanding of financial terms/concepts

COMPETENCIES:

  • Analytical Skills: Applies logic and complex layers of rules to analyze and categorize complicated information. Goes beyond analyzing factual information to develop a conceptual understanding of the meaning of a range of information.
  • Problem Solving: Tests proposed solutions against the reality of likely effects before going forward; looks beyond the obvious and does not stop at first answers.
  • Communications: Exhibits good listening and comprehension; Expresses ideas and thoughts in written form; Expresses ideas and thoughts verbally; Keeps others adequately informed; Selects and uses appropriate communication methods.
  • Accuracy and Attention to Detail: Diligently attends to details and pursues quality in accomplishing tasks.
  • Quality: Applies feedback to improve performance; Demonstrates accuracy and thoroughness; Displays commitment to excellence; Monitors own work to ensure quality.
  • Teamwork: Contributes to building a positive team spirit; Exhibits objectivity and openness to others' views.

SUPERVISORY RESPONSIBILITY
None

PHYSICAL DEMANDS
While performing the duties of this job, the employee is regularly required to stand, walk, reach and sit for a minimum of 8 hours with or without reasonable accommodation. The employee is required to use hands to finger, handle, or feel objects and/or tools. The employee is required to talk or hear with or without reasonable accommodation and must sometimes lift and move up to 10 pounds.

WORK ENVIRONMENT
While performing the logistics duties of this job, the employee is frequently exposed to moderate noises such as computers, printers, and other light traffic noise in an office setting.

OTHER DUTIES
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change or be supplemented at any time with or without notice

Job Summary

JOB TYPE

Full Time

SALARY

$90k-117k (estimate)

POST DATE

03/22/2024

EXPIRATION DATE

05/08/2024

WEBSITE

lendingpoint.com

HEADQUARTERS

KENNESAW, GA

SIZE

100 - 200

FOUNDED

2014

TYPE

Private

REVENUE

$50M - $200M

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About LendingPoint

LendingPoint is a cloud-based lending platform that offers short-term personal loans to borrowers with fair credit scores.

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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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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.

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