Verified Job
Back Office / Data Entry
Data Insights Manager
Back Office / Data Entry
#655730
Remote / WFH
Job Description
The Data Insights Manager will mentor the Data and reporting community who are responsible for delivering critical operational reports and dashboards. They will ensure best practice and consistent reporting by designing and creating optimal processes and procedures for the analytics community to empower them to make strategic decisions with data. This role is a full-time permanent position based in our Sydney office with hybrid working arrangements available.
Duties & Responsibilities
Data and Insights driven:
Data Driven Insights and Analysis: Summarise key insights to members of the executive team and to the firm, to drive better outcomes, support strategic ambitions and influence key decision making and change.
Manage the planning, development, and delivery of key insights programs from the conceptual stage through to execution and collation of results to drive business outcomes.
Assist the function in becoming more efficient and effective using data analytics, insights, and automation.
Leverage AI to elevate insights, ensuring solutions are scalable and manageable.
BI Capability delivery and modernisation
Partner with the data community across the firm to drive and deliver D&A initiatives and programs of work.
Continuous review and optimization of the BI strategy/platform.
Work within a small team to help mature self-service BI and AI/ML capabilities within the firm.
Build scalable, complex and automated reporting solutions.
Collaborate with IT to innovate; to evolve reporting capabilities and data management.
Promote a collaborative, customer-centric, and high-performance team culture.
Elevate the reporting framework to a higher level of strategic maturity and operational effectiveness
Data community mentoring:
Lead and mentor growing community of data and BI analysts, building a high-performance culture where members are empowered to automate, streamline and apply best practice designs to their insights
Enable business units to perform self-service reporting and to extract actionable insights.
Identify and provide solutions for ongoing visualisation, data modelling, automation skills needed within the team.
Mentor and support an engaged data community across the firm to provide development opportunities as well as champion analytics adoption and foster collaboration across the data community.
Duties & Responsibilities
Data and Insights driven:
Data Driven Insights and Analysis: Summarise key insights to members of the executive team and to the firm, to drive better outcomes, support strategic ambitions and influence key decision making and change.
Manage the planning, development, and delivery of key insights programs from the conceptual stage through to execution and collation of results to drive business outcomes.
Assist the function in becoming more efficient and effective using data analytics, insights, and automation.
Leverage AI to elevate insights, ensuring solutions are scalable and manageable.
BI Capability delivery and modernisation
Partner with the data community across the firm to drive and deliver D&A initiatives and programs of work.
Continuous review and optimization of the BI strategy/platform.
Work within a small team to help mature self-service BI and AI/ML capabilities within the firm.
Build scalable, complex and automated reporting solutions.
Collaborate with IT to innovate; to evolve reporting capabilities and data management.
Promote a collaborative, customer-centric, and high-performance team culture.
Elevate the reporting framework to a higher level of strategic maturity and operational effectiveness
Data community mentoring:
Lead and mentor growing community of data and BI analysts, building a high-performance culture where members are empowered to automate, streamline and apply best practice designs to their insights
Enable business units to perform self-service reporting and to extract actionable insights.
Identify and provide solutions for ongoing visualisation, data modelling, automation skills needed within the team.
Mentor and support an engaged data community across the firm to provide development opportunities as well as champion analytics adoption and foster collaboration across the data community.
