As a Data Analyst, you will be pivotal in transforming raw data into actionable insights, driving strategic decision-making within our organization. You will be responsible for collecting, analyzing, and interpreting complex datasets to identify trends, patterns, and correlations that will guide business strategies and initiatives. This role requires a strong analytical mindset, proficiency in data manipulation and visualization tools, and the ability to communicate findings to stakeholders across various departments effectively.
Responsibilities:
Data Collection and Processing
- Gather data from multiple sources, ensuring its accuracy, completeness, and integrity.
- Clean, preprocess, and transform raw data to make it suitable for analysis.
Data Analysis and Interpretation
- Conduct a thorough analysis of large datasets to uncover insights and trends.
- Utilize statistical methods and data visualization techniques to present findings clearly and promptly.
- Identify patterns, correlations, and anomalies within the data to inform business decisions.
Reporting and Visualization
- Develop and maintain dashboards and reports to track key performance indicators (KPIs) and metrics.
- Create visually appealing and informative data visualizations using tools such as Tableau, Power BI, or similar platforms.
- Provide regular updates and presentations to stakeholders, translating complex data analyses into understandable insights.
Collaboration and Communication
- Work closely with cross-functional teams to understand their data needs and provide analytical support.
- Collaborate with data engineers and IT professionals to optimize data collection and storage processes.
- Communicate findings and recommendations to non-technical stakeholders clearly and concisely.
Continuous Improvement
- Stay up-to-date with industry trends, best practices, and emerging technologies in data analysis.
- Identify opportunities for process improvement and efficiency gains within the data analysis workflow.
- Actively participate in knowledge sharing and contribute to the development of analytical tools and methodologies.
Qualifications:
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field; advanced degree preferred.
- Proven experience as a Data Analyst or in a similar role, with a strong track record of analyzing complex datasets and generating actionable insights.
- Proficiency in SQL for data extraction and manipulation; experience with programming languages such as Python or R is a plus.
- Solid understanding of statistical concepts and methods, with the ability to apply them to real-world problems.
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
- Strong analytical and problem-solving skills, with keen attention to detail.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and present findings to stakeholders at all levels of the organization.
- Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously.
- Experience with machine learning techniques and predictive modeling is desirable but not required.
زرینو، مالک و توسعهدهندهی دو نام تجاری «Herlife» و «Pindis» است. هرلایف، اپلیکیشنی است که در زمینهی سلامت و سبک زندگی و همینطور آگاهیبخشی در حوزهی زنان فعالیت میکند و پیندیس، پلتفرمیست که به کسبوکارهای خرد کمک میکند تا تجربه و خرید بهتری برای مشتریان خود خلق کنند.
چشمانداز ما تولید، توسعه و رشد محصولات فناورانهایست که راهکارهایی نوآورانه برای حل مشکلات بزرگ داشته باشند. ما محصولات تازه و برندهای جدیدی خلق میکنیم که زندگی را برای همکارانمان، مشتریانمان، و جامعهمان دلنشینتر میکنند. ماموریت ما، ارائهی راهکارهای نوآورانه و مبتنی بر فناوری در مسیر رشد و توسعهی زنجیرهی ارزش در حوزههای سلامت، بهداشت و سبکزندگی و همچنین زنجیرهی تأمین محصولات است.
خالق قصه، روایتگر ارزشهاییست که خود را با آنها متعلق میداند. ما در زرینو خود را به ارزشهایمان پایبند میدانیم و همواره اجرایشان میکنیم تا شنیدنیترین قصهها را بسازیم. این یکپارچگی وجودی، باارزشترین دارایی ماست و در ذهن شنونده، «برند» ما را میسازد. ما در زرینو مشتریمحوریم؛ صراحت تمامعیار داریم، اعتمادسازی میکنیم، نتیجهگراییم و درنهایت تفکرمان؛ تفکر رشد است.
ما قصههای ملموس و میراث ماندگار میسازیم. خالق این قصه ماییم!