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Analytics Manager-(SQL, Tableau, Python)Onsite
Analytics Manager-(SQL, Tableau, Python)OnsiteProcyon TS • Sunnyvale, CA, United States
Analytics Manager-(SQL, Tableau, Python)Onsite

Analytics Manager-(SQL, Tableau, Python)Onsite

Procyon TS • Sunnyvale, CA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Description :

  • The [Product Operations and Analytics Manager, Payments Team] will leverage your natural curiosity and knowledge of data capabilities to deliver analytics and reporting projects within our Payments Business.
  • We are looking for a Senior Analyst to join our team and help shape the strategy, user experience and roadmap for Payments products.
  • You will work with key business stakeholders and team members to identify problems and deliver insights and reporting that influence how we make decisions that have impact at scale.
  • In this role you will be part of a quickly growing business and will help enable expansion and decision making.
  • Our team works on improving cash flow for Marketplace sellers through Capital and payout products.
  • We want our sellers to have every option available that suits their needs : wherever, whenever, and however they want it. We are leveraging technology and managing partnerships to give our sellers the convenience they want when looking for funding solutions.

You'll Make An Impact By

  • Processing complex and large-scale datasets
  • Extracting insights from data, tracking trends, and optimizing business metrics.
  • Building interactive dashboards, compelling data visualizations and reports to support the business in key performance initiatives
  • Creating alerting mechanisms for behavioral insights
  • Collaborating across multiple xfn stakeholders including product, business, marketing and engineering
  • Designing and executing impactful experiments to enhance product adoption and renewals
  • Owning product operations and improving them
  • You'll excel in this role if...

  • You have strong business communication skills, both written and verbal; with ability to communicate and present to business teams, also ability to explain complex technical topics clearly & easily
  • You should possess strong business acumen, connecting the business needs to your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose
  • You have at least 4 years' experience in Mixpanel, SQL, Python, Tableau, Looker, or other data analytics and reporting tools
  • You have experience in common experimentation techniques and have strong understanding of analytical techniques like cluster analysis, cohort analysis and more.
  • You have the proven ability as a data analyst who develops, optimizes, and enhances analyses using large data sets, reporting, and / or techniques
  • You're an inquisitive, out-of-the box thinker who's continually on the lookout for opportunities to improve and innovate
  • You have consistently high standards, your passion for quality is inherent in everything that you do
  • You have the courage to fail fast
  • Minimum Qualifications

  • Bachelor's degree in technology, analytics, data science or related field.
  • 4+ years' experience in data analytics and reporting
  • Strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform and visualization tools (Mixpanel, SQL, Tableau, Python, R etc.)
  • Proven ability to build partnerships across stakeholders and team members
  • Strong planning and project management skills
  • Strong written and oral communication skills
  • Strong business acumen to harness actionable insights from data
  • The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
  • Primary Location ?

  • Sunnyvale, CA or Bentonville, AR
  • This role requires working from office 5 days a week.
  • What project or initiative will they be working on?

  • Marketplace Capital and Faster Payout
  • Will this role be hybrid?

  • No
  • If hybrid, how many days per week will need to be in office?

  • Onsite in Sunnyvale or Bentonville
  • Top 3 Skills Needed or Required :

  • Product and Marketing Analytics
  • Experimentation measurement techniques
  • Expertise in SQL, Mixpanel, Tableau, Lo oker etc.
  • What are the day-to-day responsibilities?

  • Analyze campaign performance, product adoption and conversion funnel across channels and seller segments.
  • Develop Mixpanel dashboards for seller journeys in Seller Center for Capital and FP.
  • Develop segmentation dashboard to conduct RCA when we are falling behind target KPIs.
  • Support team in evaluating new product opportunities from the lens of prospective sizing and building a business case.
  • Scope new vendors / internal capabilities for experimentation, legal dependencies etc.
  • Support team in providing eligibility lists for marketing activations.
  • Own product operations and work towards continuously improving them while scaling (offer publishing, invoicing etc.)
  • Deliver and scale insights for Business, Product and Marketing teams.
  • Ensure team is equipped with data to drive competitive analysis to inform strategic decisions.
  • Actively participate in Data Infrastructure and Operations optimization efforts.
  • Design and execute impactful experiments to enhance product conversion.
  • What is the makeup of the team?

  • We are a close knit team of 9 people reporting to our Director of Payments Risk and Data Science, comprising of Data Scientists and Advanced Analytics Managers.
  • This role would be reporting to one of the Advanced Analytics Manager.
  • Working Hours

  • 40 hrs / week 8am to 5pm in their respective time zone (PST / CST)
  • Required Skills : Project Management

    Basic Qualification :

    Additional Skills :

    Background Check : No

    Drug Screen : No

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