Business Intelligence Head

Business Intelligence Head

25 Oct
|
Ontrack HR services
|
Palakkad

25 Oct

Ontrack HR services

Palakkad

Strategy Development: Lead the design, development, and

implementation of business intelligence strategies that support the

company’s goals and objectives.

Data Interpretation: Oversee the collection, analysis, and interpretation

of data to identify trends, opportunities, and areas for improvement.

Software Proficiency: Develop and maintain business intelligence tools,

systems, and dashboards to provide actionable insights to various

stakeholders.

Cross Collaboration: Collaborate with key departments, including sales,

marketing, production, and finance, to align business intelligence

initiatives with overall business strategy.

Data Compliance: Ensure data integrity, accuracy, and security in all







business intelligence processes.

Training & Development: Provide training and support to team

members and other departments on the use of business intelligence

tools and methodologies.

Market Research: Stay current with industry trends, emerging

technologies, and best practices in business intelligence and data

analytics.

Record Maintenance: Prepare and present reports to senior

management, offering recommendations based on data-driven insights.

Continuous Improvement: Drive continuous improvement in data

analytics processes, methodologies, and tools.

Strategic Alliance: Identify and cultivate new business opportunities,

including partnerships, joint ventures, and strategic alliances.

Client Meetings and Presentations: Lead negotiations with key

stakeholders, including clients, partners, and suppliers, to secure

beneficial agreement

Requirements

Bachelor’s degree in Engineering, Marketing or relevant field.







10 to 15 Years’ Experience in Business Intelligence.

Strong leadership and team management skills.

Excellent analytical and problem-solving abilities with a keen attention

to detail.

Proficiency in business intelligence tools (e.g., Tableau, Power BI), data

analytics platforms, and SQL.

Strong understanding of data warehousing, data modelling, and ETL

processes.

Exceptional communication skills, with the ability to present complex

data in a clear and concise manner.

Experience in the crusher equipment manufacturing industry is highly

desirable.

Willingness to stay updated on the latest trends in business intelligence

and data analytics

Benefits

Industrial standards

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