Data Analyst at Syngenta Group

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

08 May, 26

Salary

0.0

Posted On

08 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, Statistical Analysis, Data Visualization, Power BI, Power Automate, Power Apps, Python, SQL, Excel, R, Data Quality, Data Modeling, Communication Skills, Collaboration, Market Intelligence, Predictive Modeling

Industry

Farming

Description

Company Description Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 30,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture. Job Description At Syngenta, we believe every employee has a role to play in safely feeding the world and taking care of our planet. To support that challenge, the Vegetables & Flowers Seeds Development team is currently seeking a Data Analyst located in Pune, India. The primary responsibility of the Data Analyst is to manage data through ETL processes from diverse sources including databases, APIs, spreadsheets, and unstructured data. This involves cleaning, normalizing, and transforming raw data into actionable insights while maintaining data quality standards and developing automated solutions. Leveraging Power Platform tools (Power BI, Power Automate, Power Apps) to create efficient data workflows and visualizations. What You Will Be Doing Data Management You will be responsible for implementing comprehensive ETL processes across various data sources while establishing and maintaining robust data quality control mechanisms. Your role involves developing and documenting clear data collection methodologies, with a strong focus on maintaining data accuracy and consistency throughout all processes. Analysis & Insights You will apply statistical analysis techniques to uncover meaningful patterns and trends in complex datasets, while developing predictive models and analytics solutions that drive business value. This includes generating actionable insights from datasets and maintaining a thorough understanding of market intelligence and competitive landscape. Visualization & Reporting You will design and develop interactive dashboards and reports that effectively communicate data insights, creating impactful visualizations that tell compelling data stories. This includes implementing automated reporting solutions and presenting findings to stakeholders in a clear, actionable manner. Process Automation & Apps You will take ownership of designing and developing Power Apps solutions for efficient data collection and visualization, while creating streamlined automated workflows using Power Automate for data processing. This role requires seamless integration of Power Platform solutions with existing data systems, along with maintaining and optimizing Power Platform applications. Collaboration & Communication You will work closely with cross-functional teams to understand and address their data needs, effectively translating business requirements into technical specifications. This includes maintaining comprehensive documentation of data processes and methodologies, while providing data literacy support to team members. Qualifications Required Qualifications: Bachelor’s degree in business or economy. Master’s degree preferred. 3-6 years of experience in data analysis Experience working with agriculture data (preferred). Experience working mainly in a primary data environment with little to no secondary data. Knowledge of visualization techniques and when to apply them. Extensive experience using PowerBI and Qlik to bring data insights to life for broad audiences Working knowledge of Python to acquire, analyze, clean data. Understanding of effective data modeling strategies and implementations. Intermediate-to-advanced data analysis skills Excel. Experience with R and SQL is beneficial. Basic statistics proficiency. Able to translate business intelligence needs from a variety of stakeholders into the technical execution and presentation. Experience working with executives and collaborate cross-functionally Strong communication skills - able to communicate complex technical information to non-technical audiences. Technical Requirements: Proficiency in SQL and database management Experience with Python for data analysis Advanced Excel skills Expertise in visualization tools (Qlik/Power BI) Working knowledge of Power Platform: Power Apps development Power Automate workflow creation Microsoft Dataverse understanding Understanding of statistical methods What sets you apart? Experience working with agriculture data. Working knowledge of Power Platform Additional Information People are at the heart of what we do: Once a year Full body check Competitive insurance scheme Employee assistance program – to take care of your and your loved ones mental health Paid Vacation of 30days, 12 Paid Holidays, Maternity and Paternity Leave, compassionate leaves Education assistance – for your career growth People first culture translated into ‘Most Preferred place to work 2022-23 by Times group’ Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. To learn more visit: www.syngenta.com and www.good-growth-plan Follow us on: Twitter & LinkedIn Twitter LinkedIn

Responsibilities

The Data Analyst will manage data through ETL processes from various sources, ensuring data quality and developing automated solutions. They will also analyze complex datasets to generate actionable insights and create visualizations for effective communication.