Temel
Senior Data Analyst
Yayınlandı: 24.05.2026
Kapanış tarihi: 08.07.2026
İş referansı: 7202dee73c840252a37f53dc676414bc
İş bilgileri
Konum
Bucuresti, Romania
Şirket
Jobio
Müşteri / İşveren
Jobgether
İş referansı
7202dee73c840252a37f53dc676414bc
Listeleme türü
Temel
AB çalışma izni zorunlu
Hayır
Yayınlandı
24.05.2026
Kapanış tarihi
08.07.2026
İş tanımı
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Analyst in Romania.This is a high-impact analytics role at the core of a fast-growing, performance-driven digital organization. You will transform complex marketing, financial, and operational data into clear insights that directly shape business strategy and decision-making. Acting as a key partner to leadership, finance, and operations teams, you will build forecasting models, reporting systems, and automated data workflows that improve visibility and drive performance. The role combines technical depth with business acumen, requiring someone who can move seamlessly between data infrastructure, analysis, and strategic storytelling. You will operate in a fast-paced, fully remote environment where ownership, precision, and scalability are essential. This position is ideal for a data professional who enjoys building systems that power real-time, high-stakes business decisions.Accountabilities:Develop and maintain forecasting models for revenue, headcount, and business performance to support strategic planning and decision-making.Translate historical and operational data into forward-looking insights, identifying risks, trends, and growth opportunities.Build, maintain, and optimize dashboards using BI tools such as Power BI, Looker, Tableau, or similar platforms.Design standardized reporting frameworks for marketing, client performance, media spend, and core business KPIs.Automate manual reporting processes by building scalable data pipelines and integrating multiple data sources.Manage and enhance data workflows using tools such as Supermetrics, Google Sheets, and Apps Script for seamless reporting automation.Ensure data integrity, consistency, and quality across all reporting systems and databases.Design and maintain structured databases to support operations, finance, and performance reporting needs.Requirements:3–6 years of experience in data analytics, business intelligence, or similar roles, preferably in fast-paced digital, agency, or DTC environments.Strong proficiency in SQL, Python, or equivalent tools for data analysis, querying, and pipeline development.Advanced expertise in Google Sheets and Excel, including complex formulas, automation, and scripting (Apps Script preferred).Hands-on experience with BI tools such as Power BI, Looker, Tableau, or comparable platforms.Strong understanding of marketing and performance data, including familiarity with paid media platforms like Meta, Google, and TikTok.Experience building dashboards, reporting systems, and automated data workflows from multiple data sources.Strong systems thinking with the ability to design scalable, reliable data infrastructure rather than one-off reports.High attention to detail with strong problem-solving skills and data accuracy mindset.Ability to work independently in a remote, fast-paced environment with strong ownership and accountability.Excellent communication skills to translate data insights into clear business recommendations.Benefits:Competitive monthly compensation in the range of $2,000–$4,000 USD.Fully remote work setup with global team collaboration.Opportunity to work on high-impact marketing and business intelligence systems.Exposure to large-scale performance marketing operations and datasets.High autonomy and ownership over analytics infrastructure and reporting systems.Fast-paced, growth-oriented environment with strong learning opportunities.Direct collaboration with leadership and cross-functional business teams.How Jobgether works:We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Yetenekler
analyse big data
apply statistical analysis techniques
Business Analytics
Business Intelligence
cloud technologies
collect ICT data
create data models
Data Engineering
data ethics
Data Mining
Data Models
data quality assessment
Data Science
data storage
data visualisation software
Database
define data quality criteria
deliver visual presentation of data
digital data processing
documentation types
establish data processes
execute analytical mathematical calculations
Game Theory
gather data for forensic purposes
Hadoop
handle data samples
Healthcare Analytics
image recognition
implement data quality processes
Information Architecture
information categorisation
information confidentiality
Information Extraction
information structure
integrate ICT data
interpret current data
LDAP
LINQ
make data-driven decisions
manage cloud data and storage
manage data
manage data collection systems
manage quantitative data
Marketing Analytics
MDX
multidisciplinary research
N1QL
normalise data
online analytical processing
perform data cleansing
perform data mining
query languages
report analysis results
Research Design
resource description framework query language
Social Network Analysis
SPARQL
statistical modeling techniques
Statistics
store digital data and systems
Unstructured Data
use data processing techniques
use databases
use spreadsheets software
visual presentation techniques
Web Analytics
XQuery