Data Analytics Specialist: Predictive Insights & Growth

EcoFarm Solutions; Gujrat; On-site; PKR 2,817,000 - 3,374,000; Full time

Benefits offered by this job

Opportunities for professional growth

Full-time job with flexible working h

Supportive work environment

Job summary

EcoFarm Solutions in Gujrat, India, seeks a Data Analytics Specialist to analyze large datasets, identify patterns, and deliver actionable insights for business decisions. You will collect data, clean and validate, and build analytics strategies using SQL and Python or R.

Responsibilities include developing predictive models, presenting findings to stakeholders, and collaborating with cross-functional teams to drive data-driven improvements.

Qualifications

• Bachelor's degree in Mathematics, Statistics, CS or related field.
• Proven experience in data analysis and visualization.
• Proficiency in SQL and Python or R.
• Familiarity with data mining techniques and statistical models.
• Strong analytical skills with the ability to interpret complex data sets.
• Excellent communication and presentation skills.

Responsibilities

• Collect data from various sources and perform data cleaning and validation.
• Develop and implement data analytics strategies to identify trends and patterns.
• Build predictive models using statistical methods to forecast future outcomes.
• Present insights and recommendations to stakeholders in a clear and concise manner.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
• Continuously monitor performance metrics to identify areas for improvement.

Skills

SQL

Python or R

Data analysis

Data visualization

Data mining

Statistical models

Analytical thinking

Communication skills

Education

Bachelor's degree in Mathematics, Statistics, CS or related field

Job description

EcoFarm Solutions in Gujrat, India, seeks a Data Analytics Specialist to analyze large datasets, identify patterns, and deliver actionable insights for business decisions. You will collect data, clean and validate, and build analytics strategies using SQL and Python or R.

Responsibilities include developing predictive models, presenting findings to stakeholders, and collaborating with cross-functional teams to drive data-driven improvements.