Job Summary
Synechron is seeking a detail-oriented and technically proficient professional to join our team in Data & Analytics. This role plays a vital part in supporting data analysis and data science initiatives that drive business insights, optimize decision-making, and enhance operational efficiencies. The successful candidate will contribute analytical expertise, develop innovative data solutions, and collaborate across teams to enable data-driven strategies. By leveraging advanced data visualization and modeling techniques, you will help translate complex data into meaningful insights that support organizational objectives.
Software Requirements
Required Software Proficiency:
Tableau (latest or recent versions, with hands-on experience in building dashboards/reports)
Microsoft Power BI (experience in designing interactive reports)
R and/or Python (proficient in data analysis, scripting, and visualization libraries such as Pandas, NumPy, Matplotlib, Seaborn, or ggplot2)
Preferred Software Skills:
SQL and database management tools (e.g., MySQL, PostgreSQL)
Cloud data platforms (e.g., AWS, Azure, GCP)
Data modeling and ETL tools (e.g., Informatica, Apache NiFi)
Jupyter Notebooks, Git/GitHub for version control
Overall Responsibilities
Support the design, development, and deployment of data analysis and data science solutions aligned with project requirements
Collaborate with cross-functional teams to gather requirements, develop models, and deliver insights
Build, refine, and maintain dashboards and reports to visualize key metrics and trends
Assist in data extraction, cleaning, transformation, and validation processes
Stay current with emerging trends and best practices in data analysis and data science to recommend innovative approaches
Document data processes, models, and solutions to ensure reproducibility and knowledge sharing
Contribute to project planning and provide technical input on feasibility and methodology
Performance Outcomes:
Accurate and insightful data visualizations and reports
Timely completion of assigned data science tasks
Continuous improvement in data processes and models
Effective collaboration and communication with stakeholders
Technical Skills (By Category)
Programming Languages:
Required: Python, R
Preferred: SQL, SAS
Databases/Data Management:
Required: Experience with relational databases (SQL-based)
Preferred: Big data platforms (e.g., Hadoop, Spark)
Cloud Technologies:
Preferred: Basic knowledge of cloud platforms such as AWS, Azure, or GCP
Frameworks and Libraries:
Required: Pandas, NumPy, Matplotlib, Seaborn, or equivalent in R
Preferred: Scikit-learn, TensorFlow, Keras
Development Tools and Methodologies:
Version control with Git/GitHub
Familiarity with Agile/Scrum development processes
Security Protocols:
Knowledge of data security best practices and GDPR compliance (preferred)
Experience Requirements
Minimum of 2-4 years of professional experience in data analysis, data science, or related roles
Proven experience in designing and implementing data models, dashboards, and reports
Experience working with cross-functional teams and translating business needs into technical solutions
Industry experience is advantageous but not mandatory; relevance in finance, healthcare, retail, or technology sectors is preferred
Alternative pathways: Demonstrated project work, open-source contributions, or relevant academic projects can be considered
Day-to-Day Activities
Extract, clean, and prepare data from various sources for analysis
Develop and refine predictive models and statistical analyses
Build interactive dashboards and visualizations for stakeholders
Participate in project meetings to define objectives and deliverables
Collaborate with data engineers, business analysts, and project managers to align solutions with business goals
Monitor and optimize data pipelines and models for performance
Provide technical guidance and mentorship where applicable
Document procedures, methodologies, and findings for transparency and reproducibility
Qualifications
Bachelor’s degree in Computer Science, Information Technology, Mathematics, Data Science, or a related field (equivalent industry experience considered)
Certifications in Data Science, Business Intelligence tools, or Cloud platforms are a plus
Demonstrated commitment to continuous learning through training, courses, or conferences
Professional Competencies
Strong analytical and problem-solving skills, with attention to detail
Ability to interpret complex data and communicate insights clearly and effectively
Excellent collaboration and stakeholder engagement capabilities
Adaptability to evolving technologies and project requirements
Innovative mindset with a focus on continuous improvement
Effective time management and organizational skills to prioritize tasks efficiently
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.