Sr. Data Analyst

FinXL; City of Melbourne; On-site; AUD 110,000 - 140,000; Full time

Benefits offered by this job

Office environment

Job summary

FinXL is seeking a Senior Data Analyst to support a major transformation program with a strong focus on data quality, cleansing, profiling and migration readiness. You will work closely with business SMEs, data engineers and technology teams to understand complex legacy data, identify quality issues, define remediation rules and ensure data is fit for migration.

The role requires energy retail experience, strong SQL, and deep knowledge of customer, billing, metering and tariff data, with

Qualifications

• Energy retail experience is mandatory.
• Strong SQL and ability to interrogate large/complex datasets.
• Good understanding of customer, account, billing, metering, tariff and energy-market data.
• Experience identifying root causes of data-quality issues and driving remediation with business and technical teams.
• Excellent stakeholder management and articulation skills - able to turn complex data issues into clear business decisions.
• Comfortable working in a fast-paced, high-pressure transformation environment.
• Highly outcome-driven and hands-on; able to work through ambiguity and drive issues to closure.
• Strong experience in data profiling, data cleansing, data quality and source-to-target mapping.

Responsibilities

• Support a major transformation program focused on data quality, cleansing, profiling and migration readiness.
• Collaborate with business SMEs, data engineers and technology teams to understand legacy data and define remediation rules.
• Ensure data is fit for migration and clearly communicated to stakeholders.

Skills

SQL

Data profiling

Data cleansing

Data quality

Source-to-target mapping

Stakeholder management

Data migration

Data analysis

Tools

Oracle Utilities CC&B/C1

Databricks

Job description

FinXL was established in 2003 and created to leverage highly talented people in solving complex technological challenges. Since then, we have completed thousands of assignments, providing high value services to a wide range of customers.Previously apart of the successful Finite Group, a subsidiary of Randstad N.V., FinXL has grown from a small team to a large business, with offices in all the major cities across Australia and New Zealand.Our deployed workforce of 1,200+ consultants work on projects and BAU assignments across a diverse customer base.At FinXL, our relationships are built on trust, strengthened by respect and supported by proven processes and robust governance. It's in our nature to connect great people, and to nurture long-term partnerships.As the "go-to" mid-tier Service Provider for many Australian and International clients, FinXL enjoys a diverse client portfolio, boasting some of the industry's leading: Telecommunication, Banking and Finance and Commercial Corporations, along with many State and Federal Government Departments.

We are looking for a Senior Data Analyst to support a major transformation program, with a strong focus on data quality, cleansing, profiling and migration readiness.The role will work closely with business SMEs, data engineers and technology teams to understand complex legacy data, identify quality issues, define remediation rules and ensure data is fit for migration.

Key requirements:

• Energy retail experience is mandatory.
• Strong experience in data profiling, data cleansing, data quality and source-to-target mapping.
• Strong SQL and ability to interrogate large/complex datasets.
• Good understanding of customer, account, billing, metering, tariff and energy-market data.
• Experience identifying root causes of data-quality issues and driving remediation with business and technical teams.
• Excellent stakeholder management and articulation skills - able to turn complex data issues into clear business decisions.
• Comfortable working in a fast-paced, high-pressure transformation environment.
• Highly outcome-driven and hands-on; able to work through ambiguity and drive issues to closure.

Highly desirable:

• Oracle Utilities CC&B/C1, Databricks, market data and large-scale energy-platform migration experience.