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Data Analyst Financial Services Analytics

Job in Appleton, Outagamie County, Wisconsin, 54914, USA
Listing for: One Click Contractor
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Data Analyst -- Financial Services Analytics

Location:On Site(Appleton WI)

Department:Analytics / Operations

Reports to:CTO (Chief Technology Officer)

Employment Type:Full-time

Seniority:Mid-level (5+ years)

About One Click Contractor

One Click Contractor
is a fast-growing, exciting SaaS platform that
streamlines the home‑improvement sales process
—bringing
measurement, estimating, financing, presentation, e‑signing, and close
into a single workflow so contractors and enterprise brands can
shorten sales cycles, increase close rates, and deliver a consistent, professional experience
. Our mission is to modernize sales for this industry with intuitive, efficient technology built for real‑world operations.

What We’ll Bring
  • Executive exposure & autonomy:Direct line to the CTO and executive team to translate business questions into elegant, decision‑ready analytics.
  • Fin Serv focus:A domain where your curiosity for
    consumer finance, credit, lending, and unit economics
    will be put to work.
  • Modern stack & velocity:SQL + Python/R, Power BI, and cloud data platforms; pragmatic over dogmatic.
  • Growth runway:The role starts as an
    individual contributor
    with a clear path to
    building and leading
    a small analytics team as we scale.
What You’ll Bring (Qualifications)
  • 5+ years
    in data analytics or BI, witha track recordof
    turning ambiguous executive asks into crisp, actionable outputs
    .
  • Financial services interest and experience
    —you know or are eager to learn consumer credit/lending funnels, portfolio KPIs (applications, take rates,approvals, fundings), and revenue drivers.
  • Technical toolkit:
  • Advanced SQL
    for complex joins, window functions, performance tuning.
  • Python or Rfor analysis and light statistical modeling (e.g., logistic/linear regression, segmentation, time series).
  • BI/Visualization:Power BI, Tableau, or Looker; dashboard design obsessed with clarity and usability.
  • Business acumen & communication:You canunderstand the key drivers of our business as well as our customers and lenders,
    frame trade‑offs
    , tell a
    tight story
    with data, and produce
    executive‑ready decks
    and dashboards.
  • Delivery mindset:Comfortable
    rolling up your sleeves
    —scoping, extracting, cleaning, modeling, visualizing, and presenting without heavy hand‑holding.
  • Nice to have:Experience with Snowflake/Redshift/Big Query/Databricks;dbt; basic ELT/automation; experimentation design; CRM data (Hub Spot/Salesforce) and product telemetry.
Impact You’llMake (Responsibilities)
  • Translate executive briefs into analysis plans
    , define hypotheses, metrics, and decision criteria; drive analyses from concept to executive readout.
  • Build andmaintaincore dashboards
    that track revenue, financing attach/penetration, funnel conversion, cohort behavior, churn/retention, and operational efficiency.
  • Design and write programs/queries
    for
    data extraction, segmentation, and statistical analysis
    on large datasets (primarily SQL + Python/R).
  • Deliver succinct insights and recommendations
    to senior leaders; create
    clear visuals
    and narratives that enable fast decisions.
  • Establish data quality standards
    and guardrails; partner with Engineering/Product/Finance to improve upstream data.
  • Lay foundations to scale
    : document methods, introduce lightweight processes, mentor future hires; evolve into a
    player/coach
    as the team grows.
Compensation
  • Competitive benefits package (medical, dental, vision, PTO, holidays) and a remote‑friendly workplace.
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