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Data Analyst
Zylo Indianapolis, IN
$49k-65k (estimate)
Full Time | Business Services 1 Month Ago
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Zylo is Hiring a Remote Data Analyst

As the world leader in SaaS Management and Optimization, Zylo enables companies to organize, optimize, and orchestrate SaaS. Organizations large and small trust Zylo's enterprise-proven technology and unparalleled SaaS Management expertise to optimize more than 30 million SaaS licenses and $21 billion in SaaS spend. Zylo's patent-pending, AI-powered Discovery Engine provides continual, frictionless monitoring of SaaS spend, licenses, and usage to create the industry's most trusted SaaS system of record. Fueled by more data than any other provider, Zylo delivers insights that allow you to take action quickly to optimize growing SaaS portfolios.

Reporting to the Director of Data Operations, Zylo is looking for a Data Analyst to create a source of truth - by cleansing and validating financial and renewal metadata - to enable customers the ability to maintain and govern their SaaS ecosystem in the continually expanding SaaS landscape. Additionally, this role will be impactful by providing industry-leading service and assisting in process automation to drive scale.

What you will do:

  • Maintain the customer data process from receiving and validating data through cleansing and final delivery
  • Act as an intake point for Zylo's "white glove" Contract Concierge service for ingesting customer supplier contracts and extrapolating key metadata.
  • Investigate, understand, and remedy customer data issues collaboratively with internal stakeholders a monthly basis
  • Produce an accurate and consistent output for customer data
  • Be a central customer advocate, providing them with any information needed related to the product, or their own internal spend/utilization data.
  • Communicate with stakeholders to understand customer requirements and implement identified solutions
  • Collaborate with multiple teams to support customer and cross-departmental initiatives
  • Ensure customer service level agreements are adhered for deliverables
  • Understanding internal processes to improve operational efficiencies and promote scale

What you need:

  • 1 years of data analysis experience
  • Expertise in Excel using advanced formulas
  • Knowledge of Python to extract, transform, and summarize data
  • Excellent problem solving and troubleshooting skills
  • Aptitude to oversee projects across multiple customers and be entrusted to meet strict timelines

Nice to have:

  • 1 years experience using SQL to query and summarize data (e.g. Postgresql, Redshift)
  • Experience understanding and working with millions of rows of data
  • Strong understanding of data ETL processes and data manipulation
  • Location preference: We are open to US based candidates, preferably in the Eastern time zone.

At Zylo, we're committed to furthering diversity, equity and inclusion and living up to our value of Growing Stronger Together. We've worked with our hiring team to craft job descriptions that accurately reflect the nature of the role and minimum qualifications to be successful. If your experience meets the minimum requirements, we strongly encourage you to apply. And if you're not quite there yet, please consider submitting your resume to our talent community - we'd love the opportunity to get to know you.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$49k-65k (estimate)

POST DATE

03/21/2023

EXPIRATION DATE

03/24/2023

WEBSITE

zylo.net

HEADQUARTERS

Levallois Perret

SIZE

25 - 50

INDUSTRY

Business Services

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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.

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.

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