Lead Data Analytics
Location : Bangalore
Position : 1
Required Experience : Minimun 5+ Years
Educational Qualification : Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (Master's degree a plus).
Lead Data Analytics
Location : Bangalore
Position : 1
Required Experience : Minimun 5+ Years
Educational Qualification : Bachelor's degree in
Computer Science, Statistics, Mathematics,
Engineering, or a related field (Master's degree a plus).
Responsibilities
- Lead and mentor a team of data analysts, fostering a collaborative and results-oriented environment within BLP Industry.AI.
- Partner with cross-functional teams (engineering, product, sales) to translate manufacturing industry challenges into actionable data strategies for the "Orion" platform.
- Leverage your expertise in manufacturing data analysis to identify key performance indicators (KPIs) specific to manufacturing processes (e.g., Overall Equipment Effectiveness, production yield).
- Develop data pipelines to collect and analyze complex manufacturing datasets from various sources (sensors, machines, production lines).
- Utilize advanced statistical techniques, machine learning models (predictive maintenance, anomaly detection, process optimization), and data visualization tools to extract valuable insights for manufacturing clients.
- Translate data-driven insights into clear and concise reports, presentations, and dashboards for stakeholders across the manufacturing value chain.
- Ensure data quality and integrity through robust data governance practices and data quality checks specific to manufacturing data.
- Champion continuous improvement by identifying and implementing new data analytics tools and technologies relevant to manufacturing (e.g., industrial data lakes, cloud-based analytics platforms).
- Collaborate with the engineering team to integrate data pipelines and analytical models into the "Orion" platform for seamless application in manufacturing settings.
- Stay up-to-date on the latest trends in manufacturing analytics, industrial AI, and data security.
Responsibilities
- Lead and mentor a team of data analysts, fostering a collaborative and results-oriented environment within BLP Industry.AI.
- Partner with cross-functional teams (engineering, product, sales) to translate manufacturing industry challenges into actionable data strategies for the "Orion" platform.
- Leverage your expertise in manufacturing
data analysis to identify key performance
indicators (KPIs) specific to manufacturing
processes (e.g., Overall Equipment Effectiveness, production yield). - Develop data pipelines to collect and analyze complex manufacturing datasets from
various sources (sensors, machines,
production
lines). - Utilize advanced statistical techniques,
machine learning models (predictive maintenance, anomaly detection, process optimization), and data visualization tools to extract valuable insights for manufacturing clients. - Translate data-driven insights into clear and concise reports, presentations, and
dashboards for stakeholders across the
manufacturing value chain. - Ensure data quality and integrity through
robust data governance practices and data quality checks specific to manufacturing data. - Champion continuous improvement by identifying and implementing new data
analytics tools and technologies relevant to manufacturing (e.g., industrial data lakes,
cloud-based analytics platforms). - Collaborate with the engineering team to integrate data pipelines and analytical
models into the "Orion" platform for seamless application in manufacturing settings. - Stay up-to-date on the latest trends in manufacturing analytics, industrial AI, and
data security.
Skills Required
- Strong understanding of statistical methods, machine learning algorithms for manufacturing applications, and data visualization techniques.
- Experience with data wrangling, data cleaning, and data transformation using tools like SQL and Python.
- Experience with cloud platforms (AWS, Azure) for data storage and analytics in a manufacturing context.
- Excellent communication and presentation skills with the ability to translate complex data insights into clear and actionable recommendations for both technical and non-technical audiences.
- Experience working in a fast-paced, dynamic environment with a strong focus on innovation and continuous improvement.
- A passion for data-driven decision making and a strong desire to contribute to BLP Industry.AI's mission of revolutionizing manufacturing processes with industrial AI.
- Excellent leadership and team management skills.
Skills Required
- Strong understanding of statistical methods, machine learning algorithms for
manufacturing applications, and data visualization techniques. - Experience with data wrangling, data
cleaning, and data transformation using tools like SQL and Python. - Experience with cloud platforms (AWS, Azure) for data storage and analytics in a manufacturing context.
- Excellent communication and presentation
skills with the ability to translate complex
data insights into clear and actionable recommendations for both technical and non-technical audiences. - Experience working in a fast-paced, dynamic environment with a strong focus on
innovation and continuous improvement. - A passion for data-driven decision making
and a strong desire to contribute to BLP
Industry.AI's mission of revolutionizing
manufacturing processes with industrial AI. - Excellent leadership and team management skills.
Soft Skills
- Self-learner.
- Good Communication skills (written and verbal), Fluent English.
- Very Ambitious.
- Should have leadership qualities to manage multiple tasks and projects.
- Should be able to work in a start-up environment where there are multiple jobs and responsibilities apart from core job.
Soft Skills
- Self-learner.
- Good Communication skills (written and
verbal), Fluent English. - Very Ambitious.
- Should have leadership qualities to manage multiple tasks and projects.
- Should be able to work in a start-up
environment where there are multiple jobs
and responsibilities apart from core job.