Job description
MKI is looking for a Sr. Analytics Developer who will be responsible for developing and maintaining advanced reporting solutions, interactive dashboards, and scalable data models to support our analytical needs.
You will collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to design and implement data-driven solutions that enable efficient data analysis and visualization.
SCOPE OF SERVICES TASKS:.
" Develop and maintain highly efficient and interactive reports, dashboards, and data models to meet business requirements.
" Collaborate with data scientists and business stakeholders to understand data analysis needs and translate them into technical requirements.
" Design and implement data engineering pipelines to extract, transform, and load data from various sources into the analytics platform.
" Perform data validation, cleansing, and transformation to ensure accuracy and consistency.
" Optimize database queries and data retrieval processes to enhance performance and scalability.
" Conduct data profiling and analysis to identify data quality issues and provide recommendations for improvement.
" Stay up to date with industry best practices and emerging trends in analytics, data engineering, and visualization tools.
SKILLS/EXPERIENCE
Note: Candidates who do not have the mandatory skills will not be considered " 12+ years of experience as an Analytics Developer, Data Engineer, or similar role, with a focus on developing reports, dashboards, and data models.
" Strong experience designing and implementing data models and schemas in Snowflake.
" Define Snowflake databases objects to support efficient data storage and retrieval.
" Expertise with data visualization tools such as Power BI, Looker, Tableau, or similar.
" Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
" Proficiency in data modeling concepts and techniques (e.g., dimensional modeling, star schema).
" Solid understanding of data engineering principles and experience with data integration and ETL processes.
" Familiarity with cloud platforms, preferably Azure, and experience with integration tools like IICS (Informatica Intelligent Cloud Services).
" Excellent problem-solving skills and attention to detail.
" Strong communication and collaboration skills to work effectively in cross-functional teams.
DESIRABLE SKILLS/EXPERIENCE:
" Proficiency in programming languages such as Python, R, or Java.
" Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
" Experience with data integration tools such as Informatica Intelligent Cloud Services and Mulesoft.
" Experience using Azure services for Security, Blob Storage, Data Lake, Databricks, Data Factory etc.
" Experience with Azure Monitoring services
" Microsoft Certified Azure Solutions Architect Expert or a Snowpro Certification or a similar one
Required Skill Profession
Other General