- Опыт
- Любой
- Зарплата
- —
- Открытия
- 1
- Опубликовано
- 2 часа назад
- Work mode
- В офисе
- Образование
- Bachelor's degree
- Eligibility
- Candidates with a bachelor’s degree in a relevant field and prior experience in data analysis or a similar analytical role are encouraged to apply.
- Resume
- Required to apply
Where you'll work
Описание работы
About the Role
This position is ideal for someone who enjoys digging into data, finding meaningful patterns, and turning numbers into practical business insight. You will partner with teams across the company to understand problems, spot opportunities, and deliver analysis that supports smarter decisions.
The right candidate brings curiosity, strong attention to detail, and a talent for explaining complex information in a clear, simple way. In addition to working with datasets, you will help shape the narrative behind the numbers and support strategic choices.
Responsibilities
- Gather, prepare, validate, and examine information from different sources.
- Create reports, dashboards, and visualizations that align with business objectives.
- Discover trends, recurring patterns, and areas of opportunity in large datasets.
- Convert analytical results into practical recommendations for internal stakeholders.
- Work with cross-functional teams to understand business needs and reporting expectations.
- Track KPIs and share regular updates on performance.
- Help improve data quality by finding inconsistencies and suggesting corrective actions.
- Support the development of data models and analytical frameworks.
- Share findings with technical and non-technical audiences in a clear, engaging format.
Requirements
- Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Economics, or a related discipline.
- Previous experience in a Data Analyst or similar analytical position.
- Strong command of SQL and Microsoft Excel.
- Hands-on exposure to visualization tools such as Tableau, Power BI, or Looker.
- Working knowledge of statistical methods and data interpretation.
- Python or R experience is an added advantage.
- Strong problem-solving and critical-thinking abilities.
- Good communication and presentation skills.
- Ability to handle several priorities and deliver within deadlines in a fast-moving environment.
Success in This Role
A strong performer in this role blends technical capability with business awareness. They are naturally inquisitive, enjoy uncovering insights, and can confidently communicate recommendations that help teams make well-informed decisions. They take initiative, collaborate effectively, and are motivated by solving real business problems through data.
Why Join Us?
You will be part of a team that values different perspectives and collaborative problem-solving. This role offers the chance to work on meaningful initiatives, contribute to strategic work, and strengthen your analytical expertise while helping guide data-driven decisions across the organization.