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Customer Insights Analyst

Talent Insights Group
Department:Data Analysis
Type:REMOTE
Remote Region:Australia
Location:Australia
Experience:Mid-Senior level
Estimated Salary:A$150,000 - A$165,000
Skills:
SQLTABLEAUDATABRICKSDATA ANALYTICSDATA SCIENCEDATA ENGINEERING
👁️ Views: 14🚀️ Applied: 2
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Job Description

Posted on: November 26, 2024

Customer Insights Data Analyst ( SQL / Tableau / Databricks)18 month Day Rate ContractRemote Australia$750-830 a day inc super DOECustomer Insights Data Analyst ( SQL / Tableau / Databricks) role required to join one of Australia’s largest Tech giants, sat within the Customer Analytics team in a newly created centralised area of Data Analytics expertise.

This role involves collaborating on various product and business challenges alongside a diverse group of cross-functional partners. The individual will utilize a structured and clear approach to become a trusted strategic partner.

Key Responsibilities for the Customer Insights Data Analyst ( SQL / Tableau / Databricks) include :

  • Apply technical expertise in quantitative analysis and experimentation to develop strategies that address significant business challenges.
  • Formulate hypotheses using various analytical methodologies and frameworks, rigorously testing them to derive actionable insights.
  • Identify and evaluate opportunities for product and business improvement, influencing roadmaps with insights and recommendations.
  • Collaborate closely with cross-functional teams to shape and execute strategic decisions.
  • Monitor key product metrics to assess the success of initiatives and identify trends through forecasting.
  • Leverage data to drive product development, quantify opportunities, and address challenges, ensuring offerings provide real value to customers and the organization.

Experience required for the Customer Insights Data Analyst ( SQL / Tableau / Databricks) :

  • Proven experience in an analytics role, transforming data into actionable insights and recommendations.
  • Strong analytical and communication skills, with the ability to craft compelling narratives from complex data.
  • Familiarity with the SaaS customer lifecycle, from acquisition to retention.
  • Experience in designing and analyzing experiments.
  • Proficiency in SQL (Snowflake, Postgres) with the ability to write structured and efficient queries on large datasets.
  • Experience with Business Intelligence tools (e.g., Tableau, Hex) is preferred.
  • Knowledge of statistical scripting languages (e.g., R or Python) is a plus.

The organization is building a centralized pool of contractors within the Data Science team to address needs arising from parental leave, sabbaticals, and project demands. Over a period of 4-6 months, the individual will have the opportunity to rotate through various teams within the Data Science organization.

Typical Day in the Role:

  • Engage in task breakdown discussions and establish a workflow rhythm.
  • Collaborate with team members at varying interaction levels.
  • Enjoy flexible hours and remote work options.
  • Engage with stakeholders or clients as needed.

What’s in it for you?

This role offers a long-term contract providing exposure to multiple business areas, supporting both product and marketing initiatives. The individual will gain visibility across different teams and projects throughout the contract.

Essential Requirements for the :

  • Experience: 5-7 years as a Data Analyst.
  • Top Technical Skills: SQL, Excel, and experience with Tableau/Data Bricks.
  • Top Soft Skills: Excellent written and verbal communication, ability to connect data with business implications, and the ability to work autonomously in a remote setting.

Top Must-Haves (Ranked):

  1. Proficiency in SQL.
  2. Dashboarding experience with Tableau/Data Bricks.
  3. Ability to interpret data and communicate its business impact.

If you’d like to apply for the above Customer Insights Data Analyst ( SQL / Tableau / Databricks) role, please send your resume to Olivia@talentinsights.com.au

Keywords: SQL / Tableau / Databricks / Analytics / Data Analytics / Data Science / Data Engineering

Originally posted on LinkedIn

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👁️ Views: 14🚀️ Applied: 2
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