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Open nowPosted 39 days ago

Business Intelligence Team Lead

BET Software33 open roles

Where
Durban, KwaZulu-Natal, South Africa
Work mode
On site
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Your applicationOpen nowBusiness Intelligence Team LeadBET Software · Durban, KwaZulu-Natal, South Africa

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on BET Software's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. BET Software postings stay open a median of 24 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 39 days ago

BET Software median: 24 days open

The posting

Job Description

  • Excellent analytical and problem-solving skills.

Responsibilities

  • Contribute to complex and time-critical analysis projects for senior leaders, by developing a prioritized approach for resolution, and executing on a timely manner.
  • Conduct sophisticated quantitative analyses and advanced modelling that translates data into actionable insights.
  • Create, prioritize, assign and regularly follow up on tasks and the advancement of the team’s work with regards to deliverables;
  • Represent the team; Organize and lead team meetings.
  • Draft regular reports for the associate Director (AD) on the advancement of the team’s work and recommend corrective measures whenever necessary to meet project objectives;
  • Anticipate and recognize potential conflicts and recommend solutions to the associate director for the team;
  • Be a mentor in terms of technical aspects for team members (where necessary);
  • Contribute to the technical architecture and development phases (where necessary);
  • Take part in performance assessments in collaboration with the team and stakeholders.
  • Coordinate bug correction as it pertains to the team’s work;
  • Ensure that new employees integrate the team;
  • Streamline processes and create efficiencies in the way the various departments and team members in the division use applications, technology, and practices to collect, analyse, and present data across business functions; including operations, finance, pricing, and support. Proactively seek opportunities to improve data quality.
  • Prepare ad hoc analysis and reporting as needed. Format data to identify needs, provide relevant insights, predictive analytics and make recommendations.

Outlines the domain activity:

  • Support the SDLC process to ensure that the team is focused on delivering projects and tasks assigned
  • Participate in the domain development strategy
  • Assists SM in solving potential personal conflicts
  • Carry out working unit-related tasks (depending on the size of the team he/she must supervise);
  • Carry out all other related tasks.

Knowledge Share

  • Identify team members requiring a specific knowledge, skill or understanding and seek ways to impart or upskill the team members through coaching and mentorship
  • Verify the knowledge has been imparted successfully and if not, take steps to rectify gaps in transfer of the knowledge

Qualifications

• Bachelor's degree in computer science, mathematics, finance, other technical degree, or equivalent practical experience. • 8 years of experience in analytics, operations, management, or similar industry and function. • Experience with a coding language examples include Javascript, Java, R, or Python. • Experience with SQL and other databases, scripting, or business intelligence tools. • Experience with KPI Management and Quantitative Modelling. • Proven ability to collaborate effectively across business functions and advise on business intelligence and analytics opportunities. • Ability to juggle several complex longer-term projects, while also handling ad hoc requests. • Excellent analytical and problem-solving skills.

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One press. We do the rest.

  1. A CV for this posting

    Written against BET Software's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on BET Software's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    BET Software's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

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