Business Development Manager - Business Intelligence at Continental

Your tasks

Business Development:

• Development of Business Intelligence solutions for Continental's PLT & TT BU's.
• Identify and develop new business development strategies and opportunities.
• Identify and develop process optimisation concepts to improve business processes, plans and projects.
• Lead change through problem solving initiatives, which are customer focused, delivering results through gap analysis, remedy implementation and customer networking.
• Analyse relevant Market Research information and guide management on SWOT implications and applications.
• Develop marketing intelligence data systems with the goal of driving the ability for strategic decision making. 
• Identify patterns, trends, solutions and opportunities, use predictive analytics & machine learning with time-series forecasting algorithms for use in strategic decision making.

Research and Analysis:

• Analyse Macro and Micro Economic market data, share findings with Senior Management for strategic decision making, risk factors and planning purposes.
• Measure & track the CTSA Market Share per BU product group and report monthly.
• Analyse data on Consumer Demographics, mega trends in tyre market data and vehicle sales trends (NAAMSA) and competitor strategies.
• Support Product and Pricing management with relevant business intelligence to identify and engage opportunities, to identify strengths and weaknesses and to negate threats (SWOT Analysis).
• Use and work with external research agencies to conduct consumer and customer surveys to gain information on competitors, brand equity, product, pricing scenario’s and market trends.

Market Intelligence Data Maintenance:

• Update MI Planning Masters  in conjunction with Central BI 
• Update CTSA  Development Plan, analyse changes and make recommendations to for Strategic level consideration.
• Maintain the official CTSA Vision 2030 Plan and record data changes to CTSA Vision 2030.

Data Reports/Systems:

• Create, implement and maintain a big data system, including a Dashboard solution, to analyse data which can be shared over platforms to enable strategic decision making (Use of BI software like Power BI, report creation like Executive Management Report).
• Train internal and external customers on using of the business intelligence tool and how to understand/interpret the data outputs.
• Create BEX Analyzer system reports to process and analyse ETRma Pool and Continental sales performance data and SoP’s. 
• Create a data system report to process and analyse SATMC M100 and Continental sales performance data and SoP/SoM. 
• Coordinate and report monthly tyre sales data to Lightstone Auto as per annual SATMC/CTSA/TSS Service Contract.
• Pull and process monthly / quarterly Tyre Stats data from Lightstone.
• Create and maintain a platform with all Market Intelligence data and analysis findings in appropriate formats via relevant digital platforms for use by management.

MEART Center of Excellence - Bus. Intelligence & Commercial Excellence:

• Steer the messaging and positioning for our MEART BI needs and requirements, working closely with diverse Central Stakeholders as well as the Competence Center MEART and MEART Market Managers.
• Prepare architecture and structure for Strategic Reporting, develop BI Tool / Platforms to gain strategic insight for decision making.
• Create on-demand reporting dashboard models and algorithms which turns big data into “intelligent data” in order to effectively identify patterns, trends, solutions, risks, opportunities and to conduct predictive analytics & use forecasting models.
• Conduct market training on platforms developed across all business divisions within MEART.

Your profile

Experience Required:

• Degree in Marketing, Statistics, Business Management Practice or the equivalent.
• Several years’ experience in Business Development and or Market Intelligence as well as advanced analytics.
• Experience with Big Data visualizers (e.g. Power BI, Tableau) and understanding of connecting to various data sources (SQL, SAP, Excel, Data Lake, VDIL, etc.) with these visualizers.